fashion.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "fashion.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "upKBaoxLwDgQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "b56af7bc-d72b-4b8c-a073-733f746ed5ea"
      },
      "source": [
        "from keras.datasets import fashion_mnist\n",
        "from keras.layers import Input, Dense, Reshape, Flatten, Dropout\n",
        "from keras.layers.convolutional import UpSampling2D, Conv2D\n",
        "from keras.models import Sequential, Model\n",
        "from keras.optimizers import Adam\n",
        "from keras.layers import BatchNormalization, Activation, ZeroPadding2D\n",
        "from keras.layers.advanced_activations import LeakyReLU\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import sys\n",
        "import numpy as np"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pyb_jt1jwPHB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class GAN():\n",
        "    def __init__(self):\n",
        "        self.img_rows = 28\n",
        "        self.img_cols = 28\n",
        "        self.channels = 1\n",
        "        self.img_shape = (self.img_rows, self.img_cols, self.channels)\n",
        "        self.latent_dim = 100\n",
        "\n",
        "        optimizer = Adam(0.0002, 0.5)\n",
        "\n",
        "        # Build and compile the discriminator\n",
        "        self.discriminator = self.build_discriminator()\n",
        "        self.discriminator.compile(loss='binary_crossentropy',\n",
        "            optimizer=optimizer,\n",
        "            metrics=['accuracy'])\n",
        "\n",
        "        # Build the generator\n",
        "        self.generator = self.build_generator()\n",
        "\n",
        "        # The generator takes noise as input and generates imgs\n",
        "        z = Input(shape=(self.latent_dim,))\n",
        "        img = self.generator(z)\n",
        "\n",
        "        # For the combined model we will only train the generator\n",
        "        self.discriminator.trainable = False\n",
        "\n",
        "        # The discriminator takes generated images as input and determines validity\n",
        "        validity = self.discriminator(img)\n",
        "\n",
        "        # The combined model  (stacked generator and discriminator)\n",
        "        # Trains the generator to fool the discriminator\n",
        "        self.combined = Model(z, validity)\n",
        "        self.combined.compile(loss='binary_crossentropy', optimizer=optimizer)\n",
        "\n",
        "\n",
        "    def build_generator(self):\n",
        "\n",
        "        model = Sequential()\n",
        "\n",
        "        model.add(Dense(256, input_dim=self.latent_dim))\n",
        "        model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(BatchNormalization(momentum=0.8))\n",
        "        model.add(Dense(512))\n",
        "        model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(BatchNormalization(momentum=0.8))\n",
        "        model.add(Dense(1024))\n",
        "        model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(BatchNormalization(momentum=0.8))\n",
        "        #model.add(Dense(2048))\n",
        "        #model.add(LeakyReLU(alpha=0.2))\n",
        "        #model.add(BatchNormalization(momentum=0.8))\n",
        "        model.add(Dense(np.prod(self.img_shape), activation='tanh'))\n",
        "        model.add(Reshape(self.img_shape))\n",
        "\n",
        "        model.summary()\n",
        "\n",
        "        noise = Input(shape=(self.latent_dim,))\n",
        "        img = model(noise)\n",
        "\n",
        "        return Model(noise, img)\n",
        "\n",
        "    def build_discriminator(self):\n",
        "\n",
        "        model = Sequential()\n",
        "\n",
        "        model.add(Flatten(input_shape=self.img_shape))\n",
        "        #model.add(Dense(512))\n",
        "        #model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(Dense(512))\n",
        "        model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(Dense(256))\n",
        "        model.add(LeakyReLU(alpha=0.2))\n",
        "        model.add(Dense(1, activation='sigmoid'))\n",
        "        model.summary()\n",
        "\n",
        "        img = Input(shape=self.img_shape)\n",
        "        validity = model(img)\n",
        "\n",
        "        return Model(img, validity)\n",
        "\n",
        "    def train(self, epochs, batch_size=128, sample_interval=50):\n",
        "\n",
        "        # Load the dataset\n",
        "        (X_train, _), (_, _) = fashion_mnist.load_data()\n",
        "\n",
        "        # Rescale -1 to 1\n",
        "        X_train = X_train / 127.5 - 1.\n",
        "        X_train = np.expand_dims(X_train, axis=3)\n",
        "\n",
        "        # Adversarial ground truths\n",
        "        valid = np.ones((batch_size, 1))\n",
        "        fake = np.zeros((batch_size, 1))\n",
        "\n",
        "        for epoch in range(epochs):\n",
        "\n",
        "            # ---------------------\n",
        "            #  Train Discriminator\n",
        "            # ---------------------\n",
        "\n",
        "            # Select a random batch of images\n",
        "            idx = np.random.randint(0, X_train.shape[0], batch_size)\n",
        "            imgs = X_train[idx]\n",
        "\n",
        "            noise = np.random.normal(0, 1, (batch_size, self.latent_dim))\n",
        "\n",
        "            # Generate a batch of new images\n",
        "            gen_imgs = self.generator.predict(noise)\n",
        "\n",
        "            # Train the discriminator\n",
        "            d_loss_real = self.discriminator.train_on_batch(imgs, valid)\n",
        "            d_loss_fake = self.discriminator.train_on_batch(gen_imgs, fake)\n",
        "            d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)\n",
        "\n",
        "            # ---------------------\n",
        "            #  Train Generator\n",
        "            # ---------------------\n",
        "\n",
        "            noise = np.random.normal(0, 1, (batch_size, self.latent_dim))\n",
        "\n",
        "            # Train the generator (to have the discriminator label samples as valid)\n",
        "            g_loss = self.combined.train_on_batch(noise, valid)\n",
        "\n",
        "            # Plot the progress\n",
        "            print (\"%d [D loss: %f, acc.: %.2f%%] [G loss: %f]\" % (epoch, d_loss[0], 100*d_loss[1], g_loss))\n",
        "\n",
        "            # If at save interval => save generated image samples\n",
        "            if epoch % sample_interval == 0:\n",
        "                self.sample_images(epoch)\n",
        "\n",
        "    def sample_images(self, epoch):\n",
        "        r, c = 2, 2\n",
        "        noise = np.random.normal(0, 1, (r * c, self.latent_dim))\n",
        "        gen_imgs = self.generator.predict(noise)\n",
        "\n",
        "        # Rescale images 0 - 1\n",
        "        #gen_imgs = 0.5 * gen_imgs + 0.5\n",
        "\n",
        "        fig, axs = plt.subplots(r, c)\n",
        "        cnt = 0\n",
        "        for i in range(r):\n",
        "            for j in range(c):\n",
        "                axs[i,j].imshow(gen_imgs[cnt, :,:,0], cmap='gray')\n",
        "                axs[i,j].axis('off')\n",
        "                cnt += 1\n",
        "        #fig.savefig(\"images/%d.png\" % epoch)\n",
        "        plt.show()\n",
        "        plt.close()\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vdw3QjICwVe8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "16989172-b8d9-405b-d57e-1130d6804a4c"
      },
      "source": [
        "gan = GAN()\n",
        "gan.train(epochs=5000, batch_size=32, sample_interval=200)"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_3\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "flatten_2 (Flatten)          (None, 784)               0         \n",
            "_________________________________________________________________\n",
            "dense_8 (Dense)              (None, 512)               401920    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_6 (LeakyReLU)    (None, 512)               0         \n",
            "_________________________________________________________________\n",
            "dense_9 (Dense)              (None, 256)               131328    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_7 (LeakyReLU)    (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "dense_10 (Dense)             (None, 1)                 257       \n",
            "=================================================================\n",
            "Total params: 533,505\n",
            "Trainable params: 533,505\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n",
            "Model: \"sequential_4\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "dense_11 (Dense)             (None, 256)               25856     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_8 (LeakyReLU)    (None, 256)               0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_4 (Batch (None, 256)               1024      \n",
            "_________________________________________________________________\n",
            "dense_12 (Dense)             (None, 512)               131584    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_9 (LeakyReLU)    (None, 512)               0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_5 (Batch (None, 512)               2048      \n",
            "_________________________________________________________________\n",
            "dense_13 (Dense)             (None, 1024)              525312    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_10 (LeakyReLU)   (None, 1024)              0         \n",
            "_________________________________________________________________\n",
            "batch_normalization_6 (Batch (None, 1024)              4096      \n",
            "_________________________________________________________________\n",
            "dense_14 (Dense)             (None, 784)               803600    \n",
            "_________________________________________________________________\n",
            "reshape_2 (Reshape)          (None, 28, 28, 1)         0         \n",
            "=================================================================\n",
            "Total params: 1,493,520\n",
            "Trainable params: 1,489,936\n",
            "Non-trainable params: 3,584\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:493: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n",
            "  'Discrepancy between trainable weights and collected trainable'\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "0 [D loss: 0.568369, acc.: 50.00%] [G loss: 0.389034]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1 [D loss: 0.743181, acc.: 50.00%] [G loss: 0.446891]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/keras/engine/training.py:493: UserWarning: Discrepancy between trainable weights and collected trainable weights, did you set `model.trainable` without calling `model.compile` after ?\n",
            "  'Discrepancy between trainable weights and collected trainable'\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "2 [D loss: 0.487005, acc.: 59.38%] [G loss: 0.559496]\n",
            "3 [D loss: 0.400041, acc.: 73.44%] [G loss: 0.693331]\n",
            "4 [D loss: 0.318315, acc.: 89.06%] [G loss: 0.817252]\n",
            "5 [D loss: 0.303407, acc.: 90.62%] [G loss: 0.915221]\n",
            "6 [D loss: 0.261892, acc.: 95.31%] [G loss: 1.132202]\n",
            "7 [D loss: 0.231965, acc.: 95.31%] [G loss: 1.205476]\n",
            "8 [D loss: 0.212029, acc.: 96.88%] [G loss: 1.260366]\n",
            "9 [D loss: 0.172545, acc.: 100.00%] [G loss: 1.446658]\n",
            "10 [D loss: 0.178006, acc.: 98.44%] [G loss: 1.493535]\n",
            "11 [D loss: 0.166979, acc.: 100.00%] [G loss: 1.661478]\n",
            "12 [D loss: 0.119049, acc.: 100.00%] [G loss: 1.778885]\n",
            "13 [D loss: 0.115689, acc.: 100.00%] [G loss: 1.768002]\n",
            "14 [D loss: 0.111435, acc.: 100.00%] [G loss: 1.865546]\n",
            "15 [D loss: 0.091215, acc.: 100.00%] [G loss: 1.956177]\n",
            "16 [D loss: 0.094386, acc.: 100.00%] [G loss: 2.106892]\n",
            "17 [D loss: 0.077651, acc.: 100.00%] [G loss: 2.067159]\n",
            "18 [D loss: 0.074141, acc.: 100.00%] [G loss: 2.168723]\n",
            "19 [D loss: 0.068358, acc.: 100.00%] [G loss: 2.187671]\n",
            "20 [D loss: 0.080076, acc.: 100.00%] [G loss: 2.354376]\n",
            "21 [D loss: 0.086609, acc.: 100.00%] [G loss: 2.426311]\n",
            "22 [D loss: 0.067811, acc.: 100.00%] [G loss: 2.502802]\n",
            "23 [D loss: 0.067136, acc.: 100.00%] [G loss: 2.502434]\n",
            "24 [D loss: 0.051894, acc.: 100.00%] [G loss: 2.585479]\n",
            "25 [D loss: 0.067983, acc.: 100.00%] [G loss: 2.594535]\n",
            "26 [D loss: 0.046524, acc.: 100.00%] [G loss: 2.593629]\n",
            "27 [D loss: 0.066928, acc.: 98.44%] [G loss: 2.737379]\n",
            "28 [D loss: 0.052420, acc.: 100.00%] [G loss: 2.673151]\n",
            "29 [D loss: 0.040847, acc.: 100.00%] [G loss: 2.763490]\n",
            "30 [D loss: 0.050790, acc.: 100.00%] [G loss: 2.854044]\n",
            "31 [D loss: 0.049296, acc.: 100.00%] [G loss: 2.739867]\n",
            "32 [D loss: 0.040046, acc.: 100.00%] [G loss: 2.990186]\n",
            "33 [D loss: 0.058107, acc.: 100.00%] [G loss: 2.923720]\n",
            "34 [D loss: 0.033119, acc.: 100.00%] [G loss: 3.043179]\n",
            "35 [D loss: 0.101750, acc.: 98.44%] [G loss: 3.142695]\n",
            "36 [D loss: 0.031627, acc.: 100.00%] [G loss: 3.168476]\n",
            "37 [D loss: 0.052817, acc.: 98.44%] [G loss: 3.019607]\n",
            "38 [D loss: 0.037606, acc.: 100.00%] [G loss: 3.219723]\n",
            "39 [D loss: 0.033348, acc.: 100.00%] [G loss: 3.186373]\n",
            "40 [D loss: 0.030789, acc.: 100.00%] [G loss: 3.135476]\n",
            "41 [D loss: 0.032897, acc.: 100.00%] [G loss: 3.274826]\n",
            "42 [D loss: 0.037603, acc.: 100.00%] [G loss: 3.292180]\n",
            "43 [D loss: 0.024658, acc.: 100.00%] [G loss: 3.226850]\n",
            "44 [D loss: 0.034525, acc.: 100.00%] [G loss: 3.387516]\n",
            "45 [D loss: 0.033363, acc.: 100.00%] [G loss: 3.381274]\n",
            "46 [D loss: 0.022585, acc.: 100.00%] [G loss: 3.605499]\n",
            "47 [D loss: 0.037030, acc.: 100.00%] [G loss: 3.558848]\n",
            "48 [D loss: 0.020018, acc.: 100.00%] [G loss: 3.533848]\n",
            "49 [D loss: 0.034596, acc.: 100.00%] [G loss: 3.546564]\n",
            "50 [D loss: 0.035871, acc.: 100.00%] [G loss: 3.552188]\n",
            "51 [D loss: 0.034483, acc.: 100.00%] [G loss: 3.635354]\n",
            "52 [D loss: 0.035513, acc.: 100.00%] [G loss: 3.699408]\n",
            "53 [D loss: 0.034983, acc.: 98.44%] [G loss: 3.744693]\n",
            "54 [D loss: 0.019179, acc.: 100.00%] [G loss: 3.727441]\n",
            "55 [D loss: 0.027686, acc.: 100.00%] [G loss: 3.817778]\n",
            "56 [D loss: 0.026661, acc.: 100.00%] [G loss: 3.829041]\n",
            "57 [D loss: 0.025418, acc.: 100.00%] [G loss: 3.662485]\n",
            "58 [D loss: 0.030280, acc.: 100.00%] [G loss: 3.758582]\n",
            "59 [D loss: 0.023548, acc.: 100.00%] [G loss: 3.994127]\n",
            "60 [D loss: 0.016685, acc.: 100.00%] [G loss: 3.733661]\n",
            "61 [D loss: 0.022581, acc.: 100.00%] [G loss: 3.801978]\n",
            "62 [D loss: 0.052832, acc.: 98.44%] [G loss: 3.763351]\n",
            "63 [D loss: 0.033747, acc.: 98.44%] [G loss: 3.695595]\n",
            "64 [D loss: 0.027065, acc.: 100.00%] [G loss: 3.950047]\n",
            "65 [D loss: 0.025011, acc.: 100.00%] [G loss: 3.787344]\n",
            "66 [D loss: 0.023090, acc.: 100.00%] [G loss: 3.705320]\n",
            "67 [D loss: 0.019413, acc.: 100.00%] [G loss: 3.904563]\n",
            "68 [D loss: 0.027571, acc.: 100.00%] [G loss: 3.946160]\n",
            "69 [D loss: 0.027528, acc.: 100.00%] [G loss: 3.867504]\n",
            "70 [D loss: 0.017072, acc.: 100.00%] [G loss: 3.941575]\n",
            "71 [D loss: 0.017901, acc.: 100.00%] [G loss: 4.002205]\n",
            "72 [D loss: 0.020933, acc.: 100.00%] [G loss: 3.928355]\n",
            "73 [D loss: 0.036595, acc.: 98.44%] [G loss: 4.057324]\n",
            "74 [D loss: 0.028848, acc.: 100.00%] [G loss: 4.147297]\n",
            "75 [D loss: 0.020147, acc.: 100.00%] [G loss: 4.248960]\n",
            "76 [D loss: 0.033389, acc.: 100.00%] [G loss: 4.077344]\n",
            "77 [D loss: 0.016755, acc.: 100.00%] [G loss: 4.093641]\n",
            "78 [D loss: 0.016549, acc.: 100.00%] [G loss: 4.098316]\n",
            "79 [D loss: 0.024056, acc.: 100.00%] [G loss: 4.034259]\n",
            "80 [D loss: 0.022861, acc.: 100.00%] [G loss: 4.203181]\n",
            "81 [D loss: 0.040058, acc.: 98.44%] [G loss: 4.045893]\n",
            "82 [D loss: 0.025394, acc.: 100.00%] [G loss: 3.954706]\n",
            "83 [D loss: 0.030413, acc.: 100.00%] [G loss: 4.015745]\n",
            "84 [D loss: 0.023897, acc.: 100.00%] [G loss: 4.188877]\n",
            "85 [D loss: 0.018114, acc.: 100.00%] [G loss: 4.088438]\n",
            "86 [D loss: 0.022005, acc.: 100.00%] [G loss: 3.956272]\n",
            "87 [D loss: 0.021139, acc.: 100.00%] [G loss: 3.884345]\n",
            "88 [D loss: 0.034500, acc.: 100.00%] [G loss: 4.073603]\n",
            "89 [D loss: 0.030075, acc.: 100.00%] [G loss: 4.201649]\n",
            "90 [D loss: 0.037241, acc.: 100.00%] [G loss: 4.134180]\n",
            "91 [D loss: 0.023866, acc.: 100.00%] [G loss: 4.092899]\n",
            "92 [D loss: 0.081413, acc.: 96.88%] [G loss: 3.699425]\n",
            "93 [D loss: 0.058144, acc.: 98.44%] [G loss: 4.169673]\n",
            "94 [D loss: 0.028019, acc.: 100.00%] [G loss: 4.716825]\n",
            "95 [D loss: 0.033912, acc.: 100.00%] [G loss: 4.589307]\n",
            "96 [D loss: 0.024604, acc.: 100.00%] [G loss: 4.616162]\n",
            "97 [D loss: 0.025302, acc.: 100.00%] [G loss: 4.274449]\n",
            "98 [D loss: 0.024170, acc.: 100.00%] [G loss: 4.246559]\n",
            "99 [D loss: 0.028741, acc.: 100.00%] [G loss: 4.543874]\n",
            "100 [D loss: 0.053735, acc.: 98.44%] [G loss: 4.349113]\n",
            "101 [D loss: 0.036723, acc.: 100.00%] [G loss: 4.153560]\n",
            "102 [D loss: 0.024313, acc.: 100.00%] [G loss: 4.364907]\n",
            "103 [D loss: 0.037007, acc.: 100.00%] [G loss: 4.381226]\n",
            "104 [D loss: 0.025114, acc.: 100.00%] [G loss: 4.340318]\n",
            "105 [D loss: 0.052629, acc.: 98.44%] [G loss: 4.516716]\n",
            "106 [D loss: 0.042763, acc.: 100.00%] [G loss: 4.626909]\n",
            "107 [D loss: 0.061527, acc.: 100.00%] [G loss: 4.110847]\n",
            "108 [D loss: 0.055812, acc.: 98.44%] [G loss: 4.483149]\n",
            "109 [D loss: 0.037512, acc.: 100.00%] [G loss: 4.527536]\n",
            "110 [D loss: 0.067990, acc.: 98.44%] [G loss: 4.259192]\n",
            "111 [D loss: 0.036649, acc.: 98.44%] [G loss: 4.811406]\n",
            "112 [D loss: 0.033238, acc.: 100.00%] [G loss: 4.869258]\n",
            "113 [D loss: 0.127153, acc.: 95.31%] [G loss: 3.940205]\n",
            "114 [D loss: 0.126405, acc.: 93.75%] [G loss: 4.570934]\n",
            "115 [D loss: 0.294404, acc.: 90.62%] [G loss: 4.404861]\n",
            "116 [D loss: 0.037386, acc.: 100.00%] [G loss: 5.260080]\n",
            "117 [D loss: 0.380331, acc.: 82.81%] [G loss: 3.020779]\n",
            "118 [D loss: 0.302526, acc.: 85.94%] [G loss: 4.492832]\n",
            "119 [D loss: 0.096412, acc.: 96.88%] [G loss: 4.996130]\n",
            "120 [D loss: 0.078787, acc.: 98.44%] [G loss: 4.733061]\n",
            "121 [D loss: 0.096401, acc.: 93.75%] [G loss: 4.841651]\n",
            "122 [D loss: 0.134631, acc.: 93.75%] [G loss: 3.624030]\n",
            "123 [D loss: 0.136496, acc.: 92.19%] [G loss: 4.278928]\n",
            "124 [D loss: 0.111337, acc.: 98.44%] [G loss: 4.076048]\n",
            "125 [D loss: 0.185223, acc.: 90.62%] [G loss: 3.567153]\n",
            "126 [D loss: 0.094497, acc.: 96.88%] [G loss: 3.978092]\n",
            "127 [D loss: 0.153402, acc.: 96.88%] [G loss: 3.455877]\n",
            "128 [D loss: 0.132794, acc.: 95.31%] [G loss: 4.057497]\n",
            "129 [D loss: 0.151719, acc.: 95.31%] [G loss: 4.085971]\n",
            "130 [D loss: 0.086471, acc.: 98.44%] [G loss: 4.495502]\n",
            "131 [D loss: 0.168354, acc.: 93.75%] [G loss: 3.595529]\n",
            "132 [D loss: 0.103792, acc.: 98.44%] [G loss: 3.906694]\n",
            "133 [D loss: 0.130104, acc.: 95.31%] [G loss: 3.984539]\n",
            "134 [D loss: 0.742092, acc.: 67.19%] [G loss: 3.925545]\n",
            "135 [D loss: 0.282959, acc.: 89.06%] [G loss: 4.394711]\n",
            "136 [D loss: 0.694516, acc.: 70.31%] [G loss: 2.939574]\n",
            "137 [D loss: 0.295863, acc.: 87.50%] [G loss: 2.973183]\n",
            "138 [D loss: 0.241432, acc.: 89.06%] [G loss: 3.437068]\n",
            "139 [D loss: 0.268223, acc.: 87.50%] [G loss: 3.845852]\n",
            "140 [D loss: 0.099020, acc.: 96.88%] [G loss: 3.986601]\n",
            "141 [D loss: 0.157300, acc.: 93.75%] [G loss: 3.132975]\n",
            "142 [D loss: 0.203044, acc.: 90.62%] [G loss: 3.094672]\n",
            "143 [D loss: 0.061292, acc.: 100.00%] [G loss: 3.262025]\n",
            "144 [D loss: 0.191503, acc.: 93.75%] [G loss: 3.230945]\n",
            "145 [D loss: 0.217013, acc.: 92.19%] [G loss: 3.415806]\n",
            "146 [D loss: 0.083466, acc.: 96.88%] [G loss: 3.419339]\n",
            "147 [D loss: 0.150186, acc.: 95.31%] [G loss: 3.062473]\n",
            "148 [D loss: 0.146553, acc.: 95.31%] [G loss: 3.291524]\n",
            "149 [D loss: 0.216767, acc.: 93.75%] [G loss: 3.269058]\n",
            "150 [D loss: 0.254672, acc.: 90.62%] [G loss: 2.692572]\n",
            "151 [D loss: 0.210095, acc.: 90.62%] [G loss: 3.457575]\n",
            "152 [D loss: 0.286281, acc.: 85.94%] [G loss: 2.900503]\n",
            "153 [D loss: 0.062127, acc.: 98.44%] [G loss: 3.572755]\n",
            "154 [D loss: 0.356692, acc.: 81.25%] [G loss: 2.832655]\n",
            "155 [D loss: 0.098723, acc.: 98.44%] [G loss: 3.927487]\n",
            "156 [D loss: 0.215778, acc.: 93.75%] [G loss: 3.425417]\n",
            "157 [D loss: 0.156101, acc.: 93.75%] [G loss: 3.455004]\n",
            "158 [D loss: 0.160348, acc.: 93.75%] [G loss: 3.617615]\n",
            "159 [D loss: 0.356944, acc.: 84.38%] [G loss: 3.628839]\n",
            "160 [D loss: 0.115013, acc.: 98.44%] [G loss: 3.727502]\n",
            "161 [D loss: 0.486702, acc.: 76.56%] [G loss: 2.347388]\n",
            "162 [D loss: 0.142435, acc.: 92.19%] [G loss: 3.546229]\n",
            "163 [D loss: 0.193685, acc.: 93.75%] [G loss: 3.556967]\n",
            "164 [D loss: 0.293500, acc.: 82.81%] [G loss: 3.154526]\n",
            "165 [D loss: 0.425782, acc.: 81.25%] [G loss: 3.116580]\n",
            "166 [D loss: 0.147302, acc.: 96.88%] [G loss: 3.973046]\n",
            "167 [D loss: 0.259965, acc.: 89.06%] [G loss: 2.970509]\n",
            "168 [D loss: 0.229598, acc.: 90.62%] [G loss: 2.850502]\n",
            "169 [D loss: 0.152019, acc.: 96.88%] [G loss: 4.096020]\n",
            "170 [D loss: 0.230518, acc.: 85.94%] [G loss: 3.979146]\n",
            "171 [D loss: 0.345393, acc.: 82.81%] [G loss: 3.158554]\n",
            "172 [D loss: 0.152727, acc.: 98.44%] [G loss: 3.117516]\n",
            "173 [D loss: 0.169734, acc.: 95.31%] [G loss: 3.508690]\n",
            "174 [D loss: 0.179483, acc.: 90.62%] [G loss: 3.241807]\n",
            "175 [D loss: 0.280805, acc.: 90.62%] [G loss: 3.570045]\n",
            "176 [D loss: 0.149719, acc.: 96.88%] [G loss: 3.620091]\n",
            "177 [D loss: 0.209492, acc.: 95.31%] [G loss: 3.168039]\n",
            "178 [D loss: 0.095599, acc.: 95.31%] [G loss: 3.259780]\n",
            "179 [D loss: 0.417663, acc.: 82.81%] [G loss: 3.064537]\n",
            "180 [D loss: 0.322210, acc.: 81.25%] [G loss: 3.909773]\n",
            "181 [D loss: 0.300637, acc.: 90.62%] [G loss: 3.475616]\n",
            "182 [D loss: 0.485954, acc.: 71.88%] [G loss: 3.483551]\n",
            "183 [D loss: 0.162791, acc.: 95.31%] [G loss: 3.906845]\n",
            "184 [D loss: 0.752707, acc.: 67.19%] [G loss: 2.462835]\n",
            "185 [D loss: 0.131101, acc.: 96.88%] [G loss: 3.800770]\n",
            "186 [D loss: 0.280265, acc.: 92.19%] [G loss: 4.346202]\n",
            "187 [D loss: 0.285303, acc.: 90.62%] [G loss: 3.379493]\n",
            "188 [D loss: 0.457916, acc.: 87.50%] [G loss: 3.052442]\n",
            "189 [D loss: 0.275423, acc.: 92.19%] [G loss: 3.202502]\n",
            "190 [D loss: 0.282535, acc.: 89.06%] [G loss: 3.044273]\n",
            "191 [D loss: 0.299245, acc.: 87.50%] [G loss: 3.679101]\n",
            "192 [D loss: 0.383829, acc.: 84.38%] [G loss: 3.182672]\n",
            "193 [D loss: 0.313390, acc.: 92.19%] [G loss: 4.109811]\n",
            "194 [D loss: 0.367527, acc.: 85.94%] [G loss: 2.706924]\n",
            "195 [D loss: 0.435069, acc.: 79.69%] [G loss: 3.585143]\n",
            "196 [D loss: 0.561737, acc.: 71.88%] [G loss: 3.506929]\n",
            "197 [D loss: 0.361247, acc.: 85.94%] [G loss: 2.939651]\n",
            "198 [D loss: 0.371973, acc.: 87.50%] [G loss: 2.748193]\n",
            "199 [D loss: 0.139484, acc.: 95.31%] [G loss: 3.373000]\n",
            "200 [D loss: 0.396599, acc.: 81.25%] [G loss: 3.181294]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0GWuAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "201 [D loss: 0.300196, acc.: 92.19%] [G loss: 3.903753]\n",
            "202 [D loss: 0.434649, acc.: 78.12%] [G loss: 2.946788]\n",
            "203 [D loss: 0.654686, acc.: 78.12%] [G loss: 3.785430]\n",
            "204 [D loss: 0.763030, acc.: 65.62%] [G loss: 2.490461]\n",
            "205 [D loss: 0.417935, acc.: 82.81%] [G loss: 3.002565]\n",
            "206 [D loss: 0.528384, acc.: 78.12%] [G loss: 3.340504]\n",
            "207 [D loss: 0.400253, acc.: 84.38%] [G loss: 3.012297]\n",
            "208 [D loss: 0.188589, acc.: 95.31%] [G loss: 3.206648]\n",
            "209 [D loss: 0.303907, acc.: 89.06%] [G loss: 2.927852]\n",
            "210 [D loss: 0.341841, acc.: 92.19%] [G loss: 3.010036]\n",
            "211 [D loss: 0.514274, acc.: 79.69%] [G loss: 2.421613]\n",
            "212 [D loss: 0.380469, acc.: 82.81%] [G loss: 2.480175]\n",
            "213 [D loss: 0.720920, acc.: 65.62%] [G loss: 3.065408]\n",
            "214 [D loss: 0.448236, acc.: 78.12%] [G loss: 2.856421]\n",
            "215 [D loss: 0.477627, acc.: 81.25%] [G loss: 2.306262]\n",
            "216 [D loss: 0.312255, acc.: 90.62%] [G loss: 2.782635]\n",
            "217 [D loss: 0.657962, acc.: 67.19%] [G loss: 2.345537]\n",
            "218 [D loss: 0.551239, acc.: 76.56%] [G loss: 2.669488]\n",
            "219 [D loss: 0.531747, acc.: 70.31%] [G loss: 2.450882]\n",
            "220 [D loss: 0.215744, acc.: 93.75%] [G loss: 3.227168]\n",
            "221 [D loss: 0.404196, acc.: 87.50%] [G loss: 2.297220]\n",
            "222 [D loss: 0.640562, acc.: 75.00%] [G loss: 2.740148]\n",
            "223 [D loss: 0.360621, acc.: 87.50%] [G loss: 2.657951]\n",
            "224 [D loss: 0.739909, acc.: 73.44%] [G loss: 2.187835]\n",
            "225 [D loss: 0.906709, acc.: 56.25%] [G loss: 2.321862]\n",
            "226 [D loss: 0.607447, acc.: 79.69%] [G loss: 2.198105]\n",
            "227 [D loss: 0.531945, acc.: 73.44%] [G loss: 2.136907]\n",
            "228 [D loss: 0.478903, acc.: 79.69%] [G loss: 2.222599]\n",
            "229 [D loss: 0.483034, acc.: 78.12%] [G loss: 2.308424]\n",
            "230 [D loss: 0.539010, acc.: 76.56%] [G loss: 2.375344]\n",
            "231 [D loss: 0.770417, acc.: 65.62%] [G loss: 1.792959]\n",
            "232 [D loss: 0.490903, acc.: 78.12%] [G loss: 2.336309]\n",
            "233 [D loss: 0.621683, acc.: 70.31%] [G loss: 1.848013]\n",
            "234 [D loss: 0.491608, acc.: 75.00%] [G loss: 2.323921]\n",
            "235 [D loss: 0.539987, acc.: 76.56%] [G loss: 2.216276]\n",
            "236 [D loss: 0.515717, acc.: 75.00%] [G loss: 2.117606]\n",
            "237 [D loss: 0.718723, acc.: 70.31%] [G loss: 1.733042]\n",
            "238 [D loss: 0.652100, acc.: 67.19%] [G loss: 2.112174]\n",
            "239 [D loss: 0.566007, acc.: 73.44%] [G loss: 1.885076]\n",
            "240 [D loss: 0.641325, acc.: 70.31%] [G loss: 1.754562]\n",
            "241 [D loss: 0.550022, acc.: 76.56%] [G loss: 1.873028]\n",
            "242 [D loss: 0.669052, acc.: 57.81%] [G loss: 1.965627]\n",
            "243 [D loss: 0.533784, acc.: 68.75%] [G loss: 2.253270]\n",
            "244 [D loss: 0.700969, acc.: 59.38%] [G loss: 1.895208]\n",
            "245 [D loss: 0.548735, acc.: 71.88%] [G loss: 1.921611]\n",
            "246 [D loss: 0.656586, acc.: 70.31%] [G loss: 1.765126]\n",
            "247 [D loss: 0.818749, acc.: 59.38%] [G loss: 1.744819]\n",
            "248 [D loss: 0.603007, acc.: 65.62%] [G loss: 1.899092]\n",
            "249 [D loss: 0.846399, acc.: 43.75%] [G loss: 1.655178]\n",
            "250 [D loss: 0.483452, acc.: 81.25%] [G loss: 1.889286]\n",
            "251 [D loss: 0.781297, acc.: 65.62%] [G loss: 1.458531]\n",
            "252 [D loss: 0.512506, acc.: 75.00%] [G loss: 1.886630]\n",
            "253 [D loss: 0.690026, acc.: 68.75%] [G loss: 1.972319]\n",
            "254 [D loss: 0.596239, acc.: 76.56%] [G loss: 1.628139]\n",
            "255 [D loss: 0.821497, acc.: 57.81%] [G loss: 1.670464]\n",
            "256 [D loss: 0.498963, acc.: 87.50%] [G loss: 1.721097]\n",
            "257 [D loss: 0.684601, acc.: 64.06%] [G loss: 1.498379]\n",
            "258 [D loss: 0.454210, acc.: 75.00%] [G loss: 1.928167]\n",
            "259 [D loss: 0.758237, acc.: 62.50%] [G loss: 1.659695]\n",
            "260 [D loss: 0.573988, acc.: 71.88%] [G loss: 2.023032]\n",
            "261 [D loss: 0.817165, acc.: 53.12%] [G loss: 1.544783]\n",
            "262 [D loss: 0.684268, acc.: 64.06%] [G loss: 1.654265]\n",
            "263 [D loss: 0.657597, acc.: 65.62%] [G loss: 1.619298]\n",
            "264 [D loss: 0.659365, acc.: 62.50%] [G loss: 1.627298]\n",
            "265 [D loss: 0.583359, acc.: 68.75%] [G loss: 1.560558]\n",
            "266 [D loss: 0.454173, acc.: 82.81%] [G loss: 1.776362]\n",
            "267 [D loss: 0.853678, acc.: 54.69%] [G loss: 1.221643]\n",
            "268 [D loss: 0.754819, acc.: 62.50%] [G loss: 1.643952]\n",
            "269 [D loss: 0.833383, acc.: 53.12%] [G loss: 1.221025]\n",
            "270 [D loss: 0.636895, acc.: 67.19%] [G loss: 1.379284]\n",
            "271 [D loss: 0.644644, acc.: 64.06%] [G loss: 1.350508]\n",
            "272 [D loss: 0.651557, acc.: 59.38%] [G loss: 1.593030]\n",
            "273 [D loss: 0.718082, acc.: 70.31%] [G loss: 1.362074]\n",
            "274 [D loss: 0.799070, acc.: 48.44%] [G loss: 1.142010]\n",
            "275 [D loss: 0.617999, acc.: 70.31%] [G loss: 1.522808]\n",
            "276 [D loss: 0.635557, acc.: 71.88%] [G loss: 1.447328]\n",
            "277 [D loss: 0.648576, acc.: 75.00%] [G loss: 1.519754]\n",
            "278 [D loss: 0.758503, acc.: 60.94%] [G loss: 1.357481]\n",
            "279 [D loss: 0.825845, acc.: 42.19%] [G loss: 1.319888]\n",
            "280 [D loss: 0.636353, acc.: 67.19%] [G loss: 1.268753]\n",
            "281 [D loss: 0.561161, acc.: 70.31%] [G loss: 1.478074]\n",
            "282 [D loss: 0.670982, acc.: 65.62%] [G loss: 1.401123]\n",
            "283 [D loss: 0.568708, acc.: 65.62%] [G loss: 1.552273]\n",
            "284 [D loss: 0.564155, acc.: 71.88%] [G loss: 1.330338]\n",
            "285 [D loss: 0.546832, acc.: 75.00%] [G loss: 1.476287]\n",
            "286 [D loss: 0.763903, acc.: 64.06%] [G loss: 1.212763]\n",
            "287 [D loss: 0.711736, acc.: 70.31%] [G loss: 1.297929]\n",
            "288 [D loss: 0.696007, acc.: 67.19%] [G loss: 1.274177]\n",
            "289 [D loss: 0.754018, acc.: 59.38%] [G loss: 1.241313]\n",
            "290 [D loss: 0.547491, acc.: 73.44%] [G loss: 1.276133]\n",
            "291 [D loss: 0.631699, acc.: 65.62%] [G loss: 1.379550]\n",
            "292 [D loss: 0.682198, acc.: 68.75%] [G loss: 1.371073]\n",
            "293 [D loss: 0.642740, acc.: 60.94%] [G loss: 1.235011]\n",
            "294 [D loss: 0.769007, acc.: 51.56%] [G loss: 1.102524]\n",
            "295 [D loss: 0.765711, acc.: 59.38%] [G loss: 1.108766]\n",
            "296 [D loss: 0.766597, acc.: 54.69%] [G loss: 1.214777]\n",
            "297 [D loss: 0.775466, acc.: 60.94%] [G loss: 1.154127]\n",
            "298 [D loss: 0.590798, acc.: 65.62%] [G loss: 1.148113]\n",
            "299 [D loss: 0.725664, acc.: 60.94%] [G loss: 1.318789]\n",
            "300 [D loss: 0.740624, acc.: 73.44%] [G loss: 1.251137]\n",
            "301 [D loss: 0.914489, acc.: 48.44%] [G loss: 1.117608]\n",
            "302 [D loss: 0.702009, acc.: 56.25%] [G loss: 1.102157]\n",
            "303 [D loss: 0.757978, acc.: 62.50%] [G loss: 1.011384]\n",
            "304 [D loss: 0.762557, acc.: 57.81%] [G loss: 1.051082]\n",
            "305 [D loss: 0.635072, acc.: 64.06%] [G loss: 1.175637]\n",
            "306 [D loss: 0.791198, acc.: 57.81%] [G loss: 0.973051]\n",
            "307 [D loss: 0.651063, acc.: 62.50%] [G loss: 1.131947]\n",
            "308 [D loss: 0.670212, acc.: 65.62%] [G loss: 1.091992]\n",
            "309 [D loss: 0.639578, acc.: 60.94%] [G loss: 1.159157]\n",
            "310 [D loss: 0.760423, acc.: 50.00%] [G loss: 1.061725]\n",
            "311 [D loss: 0.633049, acc.: 64.06%] [G loss: 1.038067]\n",
            "312 [D loss: 0.723042, acc.: 56.25%] [G loss: 1.059819]\n",
            "313 [D loss: 0.637344, acc.: 64.06%] [G loss: 1.155913]\n",
            "314 [D loss: 0.745213, acc.: 54.69%] [G loss: 0.997723]\n",
            "315 [D loss: 0.582029, acc.: 68.75%] [G loss: 1.009281]\n",
            "316 [D loss: 0.676197, acc.: 60.94%] [G loss: 1.174018]\n",
            "317 [D loss: 0.608136, acc.: 65.62%] [G loss: 1.207268]\n",
            "318 [D loss: 0.604179, acc.: 64.06%] [G loss: 1.117450]\n",
            "319 [D loss: 0.705462, acc.: 53.12%] [G loss: 1.128642]\n",
            "320 [D loss: 0.562429, acc.: 67.19%] [G loss: 1.223654]\n",
            "321 [D loss: 0.801926, acc.: 50.00%] [G loss: 1.094578]\n",
            "322 [D loss: 0.605972, acc.: 70.31%] [G loss: 1.045145]\n",
            "323 [D loss: 0.682232, acc.: 65.62%] [G loss: 1.124054]\n",
            "324 [D loss: 0.661602, acc.: 60.94%] [G loss: 1.069596]\n",
            "325 [D loss: 0.650724, acc.: 68.75%] [G loss: 1.026229]\n",
            "326 [D loss: 0.526681, acc.: 76.56%] [G loss: 1.050755]\n",
            "327 [D loss: 0.618607, acc.: 70.31%] [G loss: 1.112032]\n",
            "328 [D loss: 0.620011, acc.: 59.38%] [G loss: 1.075344]\n",
            "329 [D loss: 0.586592, acc.: 67.19%] [G loss: 1.167325]\n",
            "330 [D loss: 0.771876, acc.: 56.25%] [G loss: 1.215414]\n",
            "331 [D loss: 0.612066, acc.: 67.19%] [G loss: 1.194624]\n",
            "332 [D loss: 0.778447, acc.: 56.25%] [G loss: 1.089648]\n",
            "333 [D loss: 0.638598, acc.: 59.38%] [G loss: 1.070071]\n",
            "334 [D loss: 0.557040, acc.: 70.31%] [G loss: 1.029704]\n",
            "335 [D loss: 0.627579, acc.: 68.75%] [G loss: 1.014005]\n",
            "336 [D loss: 0.659291, acc.: 57.81%] [G loss: 0.972306]\n",
            "337 [D loss: 0.645355, acc.: 62.50%] [G loss: 1.076857]\n",
            "338 [D loss: 0.743120, acc.: 57.81%] [G loss: 0.978170]\n",
            "339 [D loss: 0.695519, acc.: 57.81%] [G loss: 0.907284]\n",
            "340 [D loss: 0.644301, acc.: 57.81%] [G loss: 1.046408]\n",
            "341 [D loss: 0.626375, acc.: 64.06%] [G loss: 1.095737]\n",
            "342 [D loss: 0.647614, acc.: 59.38%] [G loss: 0.994886]\n",
            "343 [D loss: 0.597212, acc.: 81.25%] [G loss: 1.073975]\n",
            "344 [D loss: 0.576154, acc.: 71.88%] [G loss: 1.020408]\n",
            "345 [D loss: 0.473164, acc.: 81.25%] [G loss: 0.978832]\n",
            "346 [D loss: 0.634441, acc.: 67.19%] [G loss: 1.083589]\n",
            "347 [D loss: 0.619298, acc.: 68.75%] [G loss: 1.214664]\n",
            "348 [D loss: 0.692307, acc.: 65.62%] [G loss: 1.095072]\n",
            "349 [D loss: 0.604454, acc.: 62.50%] [G loss: 1.070701]\n",
            "350 [D loss: 0.608352, acc.: 64.06%] [G loss: 1.004303]\n",
            "351 [D loss: 0.700293, acc.: 57.81%] [G loss: 1.028493]\n",
            "352 [D loss: 0.589719, acc.: 65.62%] [G loss: 1.076041]\n",
            "353 [D loss: 0.577006, acc.: 64.06%] [G loss: 1.035339]\n",
            "354 [D loss: 0.601121, acc.: 67.19%] [G loss: 1.112249]\n",
            "355 [D loss: 0.598480, acc.: 70.31%] [G loss: 1.006923]\n",
            "356 [D loss: 0.626959, acc.: 70.31%] [G loss: 1.027548]\n",
            "357 [D loss: 0.675283, acc.: 60.94%] [G loss: 1.012496]\n",
            "358 [D loss: 0.634391, acc.: 65.62%] [G loss: 1.033744]\n",
            "359 [D loss: 0.518827, acc.: 73.44%] [G loss: 1.069846]\n",
            "360 [D loss: 0.561337, acc.: 76.56%] [G loss: 1.158221]\n",
            "361 [D loss: 0.570553, acc.: 73.44%] [G loss: 1.111036]\n",
            "362 [D loss: 0.589758, acc.: 73.44%] [G loss: 1.043912]\n",
            "363 [D loss: 0.573007, acc.: 67.19%] [G loss: 1.127270]\n",
            "364 [D loss: 0.670651, acc.: 56.25%] [G loss: 1.040662]\n",
            "365 [D loss: 0.637469, acc.: 59.38%] [G loss: 1.113639]\n",
            "366 [D loss: 0.614195, acc.: 68.75%] [G loss: 0.992172]\n",
            "367 [D loss: 0.714094, acc.: 65.62%] [G loss: 0.955284]\n",
            "368 [D loss: 0.550717, acc.: 75.00%] [G loss: 1.008770]\n",
            "369 [D loss: 0.546693, acc.: 79.69%] [G loss: 1.137821]\n",
            "370 [D loss: 0.648295, acc.: 62.50%] [G loss: 1.063018]\n",
            "371 [D loss: 0.543071, acc.: 82.81%] [G loss: 0.973102]\n",
            "372 [D loss: 0.676405, acc.: 62.50%] [G loss: 1.008436]\n",
            "373 [D loss: 0.645277, acc.: 64.06%] [G loss: 1.009687]\n",
            "374 [D loss: 0.588399, acc.: 71.88%] [G loss: 1.046454]\n",
            "375 [D loss: 0.794463, acc.: 48.44%] [G loss: 1.121309]\n",
            "376 [D loss: 0.631537, acc.: 71.88%] [G loss: 1.016843]\n",
            "377 [D loss: 0.684418, acc.: 59.38%] [G loss: 1.062672]\n",
            "378 [D loss: 0.547207, acc.: 73.44%] [G loss: 1.071978]\n",
            "379 [D loss: 0.618574, acc.: 68.75%] [G loss: 1.094924]\n",
            "380 [D loss: 0.588412, acc.: 70.31%] [G loss: 1.006910]\n",
            "381 [D loss: 0.619375, acc.: 62.50%] [G loss: 1.042097]\n",
            "382 [D loss: 0.692265, acc.: 57.81%] [G loss: 0.937385]\n",
            "383 [D loss: 0.643231, acc.: 62.50%] [G loss: 1.019556]\n",
            "384 [D loss: 0.722028, acc.: 50.00%] [G loss: 1.021006]\n",
            "385 [D loss: 0.659136, acc.: 62.50%] [G loss: 1.066009]\n",
            "386 [D loss: 0.635342, acc.: 68.75%] [G loss: 1.063148]\n",
            "387 [D loss: 0.662907, acc.: 64.06%] [G loss: 1.007535]\n",
            "388 [D loss: 0.629296, acc.: 60.94%] [G loss: 1.049806]\n",
            "389 [D loss: 0.647429, acc.: 67.19%] [G loss: 1.058689]\n",
            "390 [D loss: 0.633327, acc.: 57.81%] [G loss: 1.099992]\n",
            "391 [D loss: 0.571280, acc.: 73.44%] [G loss: 1.081649]\n",
            "392 [D loss: 0.605220, acc.: 65.62%] [G loss: 1.041130]\n",
            "393 [D loss: 0.613311, acc.: 64.06%] [G loss: 0.987826]\n",
            "394 [D loss: 0.557282, acc.: 73.44%] [G loss: 1.088407]\n",
            "395 [D loss: 0.713925, acc.: 53.12%] [G loss: 0.987447]\n",
            "396 [D loss: 0.571035, acc.: 71.88%] [G loss: 0.935082]\n",
            "397 [D loss: 0.593961, acc.: 68.75%] [G loss: 1.106804]\n",
            "398 [D loss: 0.665530, acc.: 64.06%] [G loss: 1.046516]\n",
            "399 [D loss: 0.694955, acc.: 57.81%] [G loss: 1.020995]\n",
            "400 [D loss: 0.694864, acc.: 53.12%] [G loss: 1.038126]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nzU4IkQTa7IQQSaDNTgiRBNrshBBJ8D9e93zaA6g+MwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "401 [D loss: 0.657950, acc.: 65.62%] [G loss: 1.039603]\n",
            "402 [D loss: 0.671631, acc.: 62.50%] [G loss: 0.999732]\n",
            "403 [D loss: 0.671585, acc.: 56.25%] [G loss: 1.055263]\n",
            "404 [D loss: 0.630934, acc.: 60.94%] [G loss: 0.972991]\n",
            "405 [D loss: 0.707566, acc.: 60.94%] [G loss: 0.897563]\n",
            "406 [D loss: 0.532511, acc.: 76.56%] [G loss: 1.015484]\n",
            "407 [D loss: 0.670007, acc.: 59.38%] [G loss: 1.101649]\n",
            "408 [D loss: 0.611252, acc.: 65.62%] [G loss: 1.075959]\n",
            "409 [D loss: 0.680418, acc.: 60.94%] [G loss: 0.958097]\n",
            "410 [D loss: 0.636228, acc.: 59.38%] [G loss: 1.026663]\n",
            "411 [D loss: 0.566594, acc.: 76.56%] [G loss: 0.998366]\n",
            "412 [D loss: 0.562474, acc.: 75.00%] [G loss: 1.072300]\n",
            "413 [D loss: 0.565103, acc.: 73.44%] [G loss: 1.079869]\n",
            "414 [D loss: 0.554191, acc.: 76.56%] [G loss: 1.079837]\n",
            "415 [D loss: 0.735286, acc.: 59.38%] [G loss: 0.934347]\n",
            "416 [D loss: 0.585557, acc.: 71.88%] [G loss: 1.065133]\n",
            "417 [D loss: 0.629807, acc.: 62.50%] [G loss: 1.009948]\n",
            "418 [D loss: 0.583974, acc.: 64.06%] [G loss: 1.043268]\n",
            "419 [D loss: 0.665100, acc.: 64.06%] [G loss: 1.107151]\n",
            "420 [D loss: 0.504003, acc.: 81.25%] [G loss: 1.056243]\n",
            "421 [D loss: 0.567514, acc.: 70.31%] [G loss: 1.086518]\n",
            "422 [D loss: 0.542657, acc.: 76.56%] [G loss: 1.203653]\n",
            "423 [D loss: 0.667218, acc.: 62.50%] [G loss: 0.999322]\n",
            "424 [D loss: 0.625059, acc.: 64.06%] [G loss: 0.956772]\n",
            "425 [D loss: 0.585968, acc.: 71.88%] [G loss: 0.954893]\n",
            "426 [D loss: 0.500033, acc.: 81.25%] [G loss: 1.112197]\n",
            "427 [D loss: 0.604071, acc.: 73.44%] [G loss: 1.094004]\n",
            "428 [D loss: 0.520783, acc.: 73.44%] [G loss: 1.034292]\n",
            "429 [D loss: 0.629069, acc.: 67.19%] [G loss: 1.012800]\n",
            "430 [D loss: 0.639651, acc.: 65.62%] [G loss: 0.963592]\n",
            "431 [D loss: 0.576168, acc.: 67.19%] [G loss: 0.972368]\n",
            "432 [D loss: 0.600308, acc.: 64.06%] [G loss: 1.012497]\n",
            "433 [D loss: 0.552993, acc.: 79.69%] [G loss: 1.040051]\n",
            "434 [D loss: 0.649129, acc.: 60.94%] [G loss: 0.974869]\n",
            "435 [D loss: 0.570377, acc.: 73.44%] [G loss: 0.977323]\n",
            "436 [D loss: 0.633022, acc.: 60.94%] [G loss: 0.969760]\n",
            "437 [D loss: 0.580618, acc.: 68.75%] [G loss: 1.025939]\n",
            "438 [D loss: 0.547134, acc.: 68.75%] [G loss: 1.051279]\n",
            "439 [D loss: 0.594211, acc.: 68.75%] [G loss: 0.990317]\n",
            "440 [D loss: 0.627563, acc.: 64.06%] [G loss: 0.963364]\n",
            "441 [D loss: 0.574718, acc.: 70.31%] [G loss: 1.015335]\n",
            "442 [D loss: 0.556278, acc.: 76.56%] [G loss: 1.042819]\n",
            "443 [D loss: 0.654503, acc.: 53.12%] [G loss: 0.926095]\n",
            "444 [D loss: 0.606065, acc.: 68.75%] [G loss: 0.957548]\n",
            "445 [D loss: 0.648870, acc.: 60.94%] [G loss: 0.974513]\n",
            "446 [D loss: 0.588670, acc.: 73.44%] [G loss: 1.019913]\n",
            "447 [D loss: 0.636340, acc.: 60.94%] [G loss: 1.015961]\n",
            "448 [D loss: 0.643117, acc.: 64.06%] [G loss: 0.957531]\n",
            "449 [D loss: 0.534257, acc.: 75.00%] [G loss: 1.100691]\n",
            "450 [D loss: 0.529548, acc.: 73.44%] [G loss: 1.114668]\n",
            "451 [D loss: 0.545043, acc.: 73.44%] [G loss: 0.999332]\n",
            "452 [D loss: 0.658226, acc.: 64.06%] [G loss: 0.993163]\n",
            "453 [D loss: 0.632858, acc.: 67.19%] [G loss: 0.964300]\n",
            "454 [D loss: 0.554130, acc.: 73.44%] [G loss: 1.010370]\n",
            "455 [D loss: 0.564033, acc.: 65.62%] [G loss: 1.131624]\n",
            "456 [D loss: 0.557297, acc.: 76.56%] [G loss: 1.169237]\n",
            "457 [D loss: 0.562430, acc.: 73.44%] [G loss: 1.015084]\n",
            "458 [D loss: 0.563212, acc.: 75.00%] [G loss: 1.099050]\n",
            "459 [D loss: 0.609241, acc.: 68.75%] [G loss: 1.175667]\n",
            "460 [D loss: 0.582493, acc.: 73.44%] [G loss: 1.103970]\n",
            "461 [D loss: 0.638081, acc.: 62.50%] [G loss: 1.021980]\n",
            "462 [D loss: 0.627007, acc.: 68.75%] [G loss: 1.064368]\n",
            "463 [D loss: 0.576804, acc.: 70.31%] [G loss: 1.089340]\n",
            "464 [D loss: 0.625781, acc.: 70.31%] [G loss: 0.999640]\n",
            "465 [D loss: 0.594281, acc.: 71.88%] [G loss: 1.047220]\n",
            "466 [D loss: 0.572059, acc.: 73.44%] [G loss: 0.972130]\n",
            "467 [D loss: 0.631616, acc.: 64.06%] [G loss: 1.019089]\n",
            "468 [D loss: 0.540527, acc.: 73.44%] [G loss: 1.071818]\n",
            "469 [D loss: 0.587101, acc.: 73.44%] [G loss: 1.033859]\n",
            "470 [D loss: 0.591063, acc.: 70.31%] [G loss: 1.084944]\n",
            "471 [D loss: 0.581035, acc.: 67.19%] [G loss: 0.987197]\n",
            "472 [D loss: 0.555055, acc.: 73.44%] [G loss: 0.987935]\n",
            "473 [D loss: 0.595935, acc.: 65.62%] [G loss: 0.995222]\n",
            "474 [D loss: 0.532782, acc.: 71.88%] [G loss: 1.139026]\n",
            "475 [D loss: 0.625723, acc.: 57.81%] [G loss: 1.092919]\n",
            "476 [D loss: 0.557777, acc.: 75.00%] [G loss: 1.089678]\n",
            "477 [D loss: 0.615268, acc.: 65.62%] [G loss: 1.049831]\n",
            "478 [D loss: 0.568591, acc.: 71.88%] [G loss: 1.014772]\n",
            "479 [D loss: 0.578989, acc.: 73.44%] [G loss: 0.995748]\n",
            "480 [D loss: 0.617290, acc.: 73.44%] [G loss: 1.079438]\n",
            "481 [D loss: 0.668915, acc.: 64.06%] [G loss: 0.929206]\n",
            "482 [D loss: 0.534559, acc.: 76.56%] [G loss: 0.965291]\n",
            "483 [D loss: 0.626525, acc.: 54.69%] [G loss: 1.000482]\n",
            "484 [D loss: 0.555990, acc.: 73.44%] [G loss: 1.047166]\n",
            "485 [D loss: 0.558862, acc.: 71.88%] [G loss: 1.018656]\n",
            "486 [D loss: 0.565602, acc.: 70.31%] [G loss: 1.026688]\n",
            "487 [D loss: 0.585862, acc.: 68.75%] [G loss: 1.065179]\n",
            "488 [D loss: 0.596206, acc.: 68.75%] [G loss: 0.901234]\n",
            "489 [D loss: 0.616430, acc.: 67.19%] [G loss: 0.933403]\n",
            "490 [D loss: 0.564741, acc.: 70.31%] [G loss: 1.043542]\n",
            "491 [D loss: 0.529556, acc.: 79.69%] [G loss: 1.063803]\n",
            "492 [D loss: 0.611542, acc.: 60.94%] [G loss: 1.056386]\n",
            "493 [D loss: 0.573157, acc.: 68.75%] [G loss: 1.094533]\n",
            "494 [D loss: 0.600667, acc.: 65.62%] [G loss: 1.121639]\n",
            "495 [D loss: 0.496161, acc.: 81.25%] [G loss: 1.069263]\n",
            "496 [D loss: 0.589919, acc.: 70.31%] [G loss: 0.949591]\n",
            "497 [D loss: 0.623763, acc.: 59.38%] [G loss: 1.014515]\n",
            "498 [D loss: 0.535529, acc.: 75.00%] [G loss: 0.963268]\n",
            "499 [D loss: 0.665574, acc.: 60.94%] [G loss: 0.929429]\n",
            "500 [D loss: 0.521905, acc.: 76.56%] [G loss: 0.984078]\n",
            "501 [D loss: 0.570116, acc.: 68.75%] [G loss: 1.018043]\n",
            "502 [D loss: 0.591601, acc.: 65.62%] [G loss: 0.979468]\n",
            "503 [D loss: 0.595018, acc.: 67.19%] [G loss: 1.057737]\n",
            "504 [D loss: 0.585867, acc.: 68.75%] [G loss: 1.036663]\n",
            "505 [D loss: 0.606330, acc.: 70.31%] [G loss: 1.043262]\n",
            "506 [D loss: 0.624299, acc.: 62.50%] [G loss: 1.045069]\n",
            "507 [D loss: 0.558425, acc.: 70.31%] [G loss: 1.004651]\n",
            "508 [D loss: 0.532291, acc.: 78.12%] [G loss: 1.045250]\n",
            "509 [D loss: 0.636891, acc.: 62.50%] [G loss: 1.017822]\n",
            "510 [D loss: 0.520174, acc.: 76.56%] [G loss: 1.170599]\n",
            "511 [D loss: 0.473915, acc.: 78.12%] [G loss: 1.126360]\n",
            "512 [D loss: 0.639767, acc.: 67.19%] [G loss: 0.976452]\n",
            "513 [D loss: 0.548474, acc.: 73.44%] [G loss: 0.986889]\n",
            "514 [D loss: 0.607814, acc.: 60.94%] [G loss: 1.001198]\n",
            "515 [D loss: 0.613463, acc.: 64.06%] [G loss: 0.976499]\n",
            "516 [D loss: 0.592781, acc.: 67.19%] [G loss: 1.004221]\n",
            "517 [D loss: 0.611468, acc.: 64.06%] [G loss: 1.031210]\n",
            "518 [D loss: 0.534467, acc.: 81.25%] [G loss: 1.025958]\n",
            "519 [D loss: 0.654121, acc.: 56.25%] [G loss: 1.071062]\n",
            "520 [D loss: 0.619488, acc.: 68.75%] [G loss: 0.985691]\n",
            "521 [D loss: 0.640001, acc.: 65.62%] [G loss: 0.993240]\n",
            "522 [D loss: 0.637802, acc.: 54.69%] [G loss: 0.891349]\n",
            "523 [D loss: 0.589730, acc.: 71.88%] [G loss: 0.970271]\n",
            "524 [D loss: 0.681057, acc.: 51.56%] [G loss: 1.025228]\n",
            "525 [D loss: 0.658345, acc.: 62.50%] [G loss: 1.023587]\n",
            "526 [D loss: 0.581749, acc.: 67.19%] [G loss: 1.090099]\n",
            "527 [D loss: 0.543246, acc.: 71.88%] [G loss: 1.007695]\n",
            "528 [D loss: 0.528221, acc.: 76.56%] [G loss: 1.060663]\n",
            "529 [D loss: 0.615551, acc.: 64.06%] [G loss: 1.052969]\n",
            "530 [D loss: 0.585953, acc.: 68.75%] [G loss: 1.052920]\n",
            "531 [D loss: 0.557411, acc.: 67.19%] [G loss: 1.120202]\n",
            "532 [D loss: 0.732752, acc.: 50.00%] [G loss: 1.040158]\n",
            "533 [D loss: 0.602244, acc.: 68.75%] [G loss: 0.942772]\n",
            "534 [D loss: 0.587034, acc.: 64.06%] [G loss: 0.982776]\n",
            "535 [D loss: 0.654460, acc.: 62.50%] [G loss: 0.917295]\n",
            "536 [D loss: 0.581114, acc.: 71.88%] [G loss: 1.155744]\n",
            "537 [D loss: 0.628650, acc.: 60.94%] [G loss: 1.114052]\n",
            "538 [D loss: 0.553469, acc.: 73.44%] [G loss: 1.059832]\n",
            "539 [D loss: 0.551202, acc.: 75.00%] [G loss: 1.067593]\n",
            "540 [D loss: 0.540899, acc.: 78.12%] [G loss: 1.104410]\n",
            "541 [D loss: 0.560829, acc.: 76.56%] [G loss: 1.006330]\n",
            "542 [D loss: 0.585509, acc.: 71.88%] [G loss: 1.123084]\n",
            "543 [D loss: 0.574860, acc.: 71.88%] [G loss: 1.119975]\n",
            "544 [D loss: 0.561753, acc.: 75.00%] [G loss: 1.128732]\n",
            "545 [D loss: 0.523787, acc.: 79.69%] [G loss: 1.146963]\n",
            "546 [D loss: 0.562207, acc.: 71.88%] [G loss: 1.161358]\n",
            "547 [D loss: 0.665032, acc.: 60.94%] [G loss: 1.079485]\n",
            "548 [D loss: 0.492840, acc.: 79.69%] [G loss: 1.093310]\n",
            "549 [D loss: 0.620016, acc.: 75.00%] [G loss: 1.093817]\n",
            "550 [D loss: 0.541299, acc.: 71.88%] [G loss: 1.037336]\n",
            "551 [D loss: 0.551825, acc.: 73.44%] [G loss: 1.083294]\n",
            "552 [D loss: 0.673284, acc.: 57.81%] [G loss: 0.957214]\n",
            "553 [D loss: 0.556353, acc.: 76.56%] [G loss: 0.987202]\n",
            "554 [D loss: 0.610621, acc.: 67.19%] [G loss: 1.101279]\n",
            "555 [D loss: 0.577365, acc.: 68.75%] [G loss: 0.943051]\n",
            "556 [D loss: 0.607429, acc.: 64.06%] [G loss: 1.054480]\n",
            "557 [D loss: 0.718597, acc.: 56.25%] [G loss: 1.015969]\n",
            "558 [D loss: 0.480553, acc.: 82.81%] [G loss: 1.093612]\n",
            "559 [D loss: 0.633174, acc.: 67.19%] [G loss: 0.954608]\n",
            "560 [D loss: 0.570869, acc.: 79.69%] [G loss: 1.010557]\n",
            "561 [D loss: 0.652856, acc.: 60.94%] [G loss: 1.075385]\n",
            "562 [D loss: 0.537423, acc.: 73.44%] [G loss: 1.160201]\n",
            "563 [D loss: 0.533470, acc.: 84.38%] [G loss: 1.053485]\n",
            "564 [D loss: 0.570661, acc.: 73.44%] [G loss: 1.041844]\n",
            "565 [D loss: 0.529340, acc.: 73.44%] [G loss: 1.102907]\n",
            "566 [D loss: 0.662450, acc.: 62.50%] [G loss: 1.073140]\n",
            "567 [D loss: 0.663201, acc.: 57.81%] [G loss: 1.014980]\n",
            "568 [D loss: 0.588269, acc.: 75.00%] [G loss: 1.037606]\n",
            "569 [D loss: 0.615867, acc.: 64.06%] [G loss: 0.954421]\n",
            "570 [D loss: 0.573869, acc.: 71.88%] [G loss: 1.059117]\n",
            "571 [D loss: 0.645781, acc.: 67.19%] [G loss: 0.925613]\n",
            "572 [D loss: 0.584872, acc.: 75.00%] [G loss: 1.037919]\n",
            "573 [D loss: 0.550984, acc.: 73.44%] [G loss: 1.061432]\n",
            "574 [D loss: 0.532728, acc.: 78.12%] [G loss: 1.104240]\n",
            "575 [D loss: 0.536613, acc.: 75.00%] [G loss: 0.941989]\n",
            "576 [D loss: 0.545157, acc.: 76.56%] [G loss: 1.103579]\n",
            "577 [D loss: 0.529363, acc.: 75.00%] [G loss: 1.175389]\n",
            "578 [D loss: 0.557107, acc.: 75.00%] [G loss: 1.151698]\n",
            "579 [D loss: 0.521488, acc.: 79.69%] [G loss: 1.046798]\n",
            "580 [D loss: 0.571144, acc.: 70.31%] [G loss: 1.042452]\n",
            "581 [D loss: 0.599622, acc.: 71.88%] [G loss: 1.057506]\n",
            "582 [D loss: 0.552512, acc.: 78.12%] [G loss: 1.046391]\n",
            "583 [D loss: 0.582574, acc.: 73.44%] [G loss: 1.119740]\n",
            "584 [D loss: 0.534039, acc.: 75.00%] [G loss: 1.115881]\n",
            "585 [D loss: 0.579201, acc.: 70.31%] [G loss: 1.086140]\n",
            "586 [D loss: 0.528848, acc.: 73.44%] [G loss: 1.138550]\n",
            "587 [D loss: 0.570605, acc.: 70.31%] [G loss: 1.071882]\n",
            "588 [D loss: 0.538908, acc.: 68.75%] [G loss: 1.008176]\n",
            "589 [D loss: 0.574527, acc.: 76.56%] [G loss: 1.073799]\n",
            "590 [D loss: 0.509456, acc.: 76.56%] [G loss: 1.033277]\n",
            "591 [D loss: 0.628172, acc.: 56.25%] [G loss: 1.065364]\n",
            "592 [D loss: 0.543037, acc.: 79.69%] [G loss: 1.049552]\n",
            "593 [D loss: 0.544445, acc.: 75.00%] [G loss: 1.116711]\n",
            "594 [D loss: 0.674780, acc.: 62.50%] [G loss: 1.080444]\n",
            "595 [D loss: 0.623780, acc.: 70.31%] [G loss: 1.081421]\n",
            "596 [D loss: 0.626368, acc.: 71.88%] [G loss: 1.033386]\n",
            "597 [D loss: 0.587414, acc.: 68.75%] [G loss: 0.965791]\n",
            "598 [D loss: 0.635765, acc.: 65.62%] [G loss: 0.992612]\n",
            "599 [D loss: 0.580525, acc.: 68.75%] [G loss: 1.104115]\n",
            "600 [D loss: 0.475673, acc.: 84.38%] [G loss: 0.999097]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nq0MoSVTvD1QAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "601 [D loss: 0.567014, acc.: 70.31%] [G loss: 1.019770]\n",
            "602 [D loss: 0.556042, acc.: 76.56%] [G loss: 1.034747]\n",
            "603 [D loss: 0.524721, acc.: 73.44%] [G loss: 0.956635]\n",
            "604 [D loss: 0.521234, acc.: 75.00%] [G loss: 1.130611]\n",
            "605 [D loss: 0.590566, acc.: 64.06%] [G loss: 1.154164]\n",
            "606 [D loss: 0.606019, acc.: 65.62%] [G loss: 1.010603]\n",
            "607 [D loss: 0.564435, acc.: 76.56%] [G loss: 1.080362]\n",
            "608 [D loss: 0.627153, acc.: 64.06%] [G loss: 1.057503]\n",
            "609 [D loss: 0.618179, acc.: 71.88%] [G loss: 1.000729]\n",
            "610 [D loss: 0.590271, acc.: 67.19%] [G loss: 1.058013]\n",
            "611 [D loss: 0.601075, acc.: 76.56%] [G loss: 1.148992]\n",
            "612 [D loss: 0.511739, acc.: 79.69%] [G loss: 1.051752]\n",
            "613 [D loss: 0.579660, acc.: 71.88%] [G loss: 1.084829]\n",
            "614 [D loss: 0.592959, acc.: 65.62%] [G loss: 1.009095]\n",
            "615 [D loss: 0.625677, acc.: 62.50%] [G loss: 1.056443]\n",
            "616 [D loss: 0.616533, acc.: 65.62%] [G loss: 1.102083]\n",
            "617 [D loss: 0.571407, acc.: 71.88%] [G loss: 1.011721]\n",
            "618 [D loss: 0.586714, acc.: 62.50%] [G loss: 1.057721]\n",
            "619 [D loss: 0.698865, acc.: 60.94%] [G loss: 1.020749]\n",
            "620 [D loss: 0.600330, acc.: 68.75%] [G loss: 1.068850]\n",
            "621 [D loss: 0.623212, acc.: 64.06%] [G loss: 0.891487]\n",
            "622 [D loss: 0.520442, acc.: 75.00%] [G loss: 0.999114]\n",
            "623 [D loss: 0.493983, acc.: 79.69%] [G loss: 1.036722]\n",
            "624 [D loss: 0.629143, acc.: 59.38%] [G loss: 1.123324]\n",
            "625 [D loss: 0.616133, acc.: 64.06%] [G loss: 1.025268]\n",
            "626 [D loss: 0.514482, acc.: 79.69%] [G loss: 1.083902]\n",
            "627 [D loss: 0.598773, acc.: 64.06%] [G loss: 1.061748]\n",
            "628 [D loss: 0.568669, acc.: 68.75%] [G loss: 1.132171]\n",
            "629 [D loss: 0.615963, acc.: 67.19%] [G loss: 0.980536]\n",
            "630 [D loss: 0.649395, acc.: 65.62%] [G loss: 1.000440]\n",
            "631 [D loss: 0.566940, acc.: 76.56%] [G loss: 0.907350]\n",
            "632 [D loss: 0.539991, acc.: 76.56%] [G loss: 1.017970]\n",
            "633 [D loss: 0.645282, acc.: 62.50%] [G loss: 1.043509]\n",
            "634 [D loss: 0.542595, acc.: 76.56%] [G loss: 0.944917]\n",
            "635 [D loss: 0.726846, acc.: 50.00%] [G loss: 0.915048]\n",
            "636 [D loss: 0.546131, acc.: 71.88%] [G loss: 0.898747]\n",
            "637 [D loss: 0.614045, acc.: 62.50%] [G loss: 0.994406]\n",
            "638 [D loss: 0.639735, acc.: 64.06%] [G loss: 1.004427]\n",
            "639 [D loss: 0.644791, acc.: 62.50%] [G loss: 1.030346]\n",
            "640 [D loss: 0.608330, acc.: 65.62%] [G loss: 1.006044]\n",
            "641 [D loss: 0.541228, acc.: 75.00%] [G loss: 1.042715]\n",
            "642 [D loss: 0.629263, acc.: 62.50%] [G loss: 1.020323]\n",
            "643 [D loss: 0.544818, acc.: 76.56%] [G loss: 1.034538]\n",
            "644 [D loss: 0.585521, acc.: 73.44%] [G loss: 1.062229]\n",
            "645 [D loss: 0.667841, acc.: 59.38%] [G loss: 0.984864]\n",
            "646 [D loss: 0.576198, acc.: 73.44%] [G loss: 1.004133]\n",
            "647 [D loss: 0.665703, acc.: 64.06%] [G loss: 0.902130]\n",
            "648 [D loss: 0.580588, acc.: 67.19%] [G loss: 0.975300]\n",
            "649 [D loss: 0.540636, acc.: 78.12%] [G loss: 1.037476]\n",
            "650 [D loss: 0.520044, acc.: 79.69%] [G loss: 1.030601]\n",
            "651 [D loss: 0.581195, acc.: 71.88%] [G loss: 1.069698]\n",
            "652 [D loss: 0.582168, acc.: 73.44%] [G loss: 1.030969]\n",
            "653 [D loss: 0.581402, acc.: 75.00%] [G loss: 1.052568]\n",
            "654 [D loss: 0.635745, acc.: 62.50%] [G loss: 1.045229]\n",
            "655 [D loss: 0.579038, acc.: 71.88%] [G loss: 0.993700]\n",
            "656 [D loss: 0.494779, acc.: 78.12%] [G loss: 1.101995]\n",
            "657 [D loss: 0.554244, acc.: 68.75%] [G loss: 1.071043]\n",
            "658 [D loss: 0.560916, acc.: 75.00%] [G loss: 1.035204]\n",
            "659 [D loss: 0.598111, acc.: 70.31%] [G loss: 1.010329]\n",
            "660 [D loss: 0.573757, acc.: 68.75%] [G loss: 1.037784]\n",
            "661 [D loss: 0.604259, acc.: 65.62%] [G loss: 1.115032]\n",
            "662 [D loss: 0.513293, acc.: 73.44%] [G loss: 1.055499]\n",
            "663 [D loss: 0.558667, acc.: 75.00%] [G loss: 1.081123]\n",
            "664 [D loss: 0.578640, acc.: 67.19%] [G loss: 1.168397]\n",
            "665 [D loss: 0.561092, acc.: 73.44%] [G loss: 1.147328]\n",
            "666 [D loss: 0.635097, acc.: 71.88%] [G loss: 1.156436]\n",
            "667 [D loss: 0.614174, acc.: 71.88%] [G loss: 1.083562]\n",
            "668 [D loss: 0.503877, acc.: 76.56%] [G loss: 0.986082]\n",
            "669 [D loss: 0.548191, acc.: 73.44%] [G loss: 1.090956]\n",
            "670 [D loss: 0.614891, acc.: 65.62%] [G loss: 1.060019]\n",
            "671 [D loss: 0.610901, acc.: 71.88%] [G loss: 0.976348]\n",
            "672 [D loss: 0.572070, acc.: 78.12%] [G loss: 1.028357]\n",
            "673 [D loss: 0.699499, acc.: 54.69%] [G loss: 1.026585]\n",
            "674 [D loss: 0.610744, acc.: 54.69%] [G loss: 0.992244]\n",
            "675 [D loss: 0.597821, acc.: 71.88%] [G loss: 0.918313]\n",
            "676 [D loss: 0.498972, acc.: 79.69%] [G loss: 0.966817]\n",
            "677 [D loss: 0.603097, acc.: 67.19%] [G loss: 1.019184]\n",
            "678 [D loss: 0.513268, acc.: 73.44%] [G loss: 0.931275]\n",
            "679 [D loss: 0.632642, acc.: 56.25%] [G loss: 1.013710]\n",
            "680 [D loss: 0.607005, acc.: 56.25%] [G loss: 0.956587]\n",
            "681 [D loss: 0.509923, acc.: 79.69%] [G loss: 1.100739]\n",
            "682 [D loss: 0.664204, acc.: 59.38%] [G loss: 0.993354]\n",
            "683 [D loss: 0.639038, acc.: 70.31%] [G loss: 1.021316]\n",
            "684 [D loss: 0.591211, acc.: 75.00%] [G loss: 0.965046]\n",
            "685 [D loss: 0.574942, acc.: 73.44%] [G loss: 1.021353]\n",
            "686 [D loss: 0.569547, acc.: 70.31%] [G loss: 0.940897]\n",
            "687 [D loss: 0.560481, acc.: 73.44%] [G loss: 0.985050]\n",
            "688 [D loss: 0.623085, acc.: 59.38%] [G loss: 1.090114]\n",
            "689 [D loss: 0.594206, acc.: 68.75%] [G loss: 1.147970]\n",
            "690 [D loss: 0.629169, acc.: 68.75%] [G loss: 0.970751]\n",
            "691 [D loss: 0.650503, acc.: 64.06%] [G loss: 1.128585]\n",
            "692 [D loss: 0.612045, acc.: 65.62%] [G loss: 0.951390]\n",
            "693 [D loss: 0.630972, acc.: 68.75%] [G loss: 1.049831]\n",
            "694 [D loss: 0.609947, acc.: 60.94%] [G loss: 0.861475]\n",
            "695 [D loss: 0.643241, acc.: 64.06%] [G loss: 0.981765]\n",
            "696 [D loss: 0.574307, acc.: 73.44%] [G loss: 0.966716]\n",
            "697 [D loss: 0.627391, acc.: 67.19%] [G loss: 0.874512]\n",
            "698 [D loss: 0.585136, acc.: 71.88%] [G loss: 0.823611]\n",
            "699 [D loss: 0.633604, acc.: 65.62%] [G loss: 1.023781]\n",
            "700 [D loss: 0.583313, acc.: 65.62%] [G loss: 1.049770]\n",
            "701 [D loss: 0.675272, acc.: 60.94%] [G loss: 1.025475]\n",
            "702 [D loss: 0.688023, acc.: 65.62%] [G loss: 1.007377]\n",
            "703 [D loss: 0.673053, acc.: 51.56%] [G loss: 0.995303]\n",
            "704 [D loss: 0.562475, acc.: 68.75%] [G loss: 0.971674]\n",
            "705 [D loss: 0.600821, acc.: 67.19%] [G loss: 0.935594]\n",
            "706 [D loss: 0.534684, acc.: 76.56%] [G loss: 0.974286]\n",
            "707 [D loss: 0.612819, acc.: 60.94%] [G loss: 1.108191]\n",
            "708 [D loss: 0.711016, acc.: 56.25%] [G loss: 0.926320]\n",
            "709 [D loss: 0.571753, acc.: 71.88%] [G loss: 0.961187]\n",
            "710 [D loss: 0.596300, acc.: 68.75%] [G loss: 0.976195]\n",
            "711 [D loss: 0.681504, acc.: 64.06%] [G loss: 0.801792]\n",
            "712 [D loss: 0.620883, acc.: 62.50%] [G loss: 0.929370]\n",
            "713 [D loss: 0.671493, acc.: 65.62%] [G loss: 0.939807]\n",
            "714 [D loss: 0.610025, acc.: 65.62%] [G loss: 0.985259]\n",
            "715 [D loss: 0.664474, acc.: 65.62%] [G loss: 0.891202]\n",
            "716 [D loss: 0.643297, acc.: 68.75%] [G loss: 0.913230]\n",
            "717 [D loss: 0.619339, acc.: 64.06%] [G loss: 1.010944]\n",
            "718 [D loss: 0.548838, acc.: 70.31%] [G loss: 1.004927]\n",
            "719 [D loss: 0.606826, acc.: 67.19%] [G loss: 1.058896]\n",
            "720 [D loss: 0.543541, acc.: 81.25%] [G loss: 1.096974]\n",
            "721 [D loss: 0.591311, acc.: 64.06%] [G loss: 1.108571]\n",
            "722 [D loss: 0.661917, acc.: 65.62%] [G loss: 0.999212]\n",
            "723 [D loss: 0.615695, acc.: 67.19%] [G loss: 0.959738]\n",
            "724 [D loss: 0.560345, acc.: 67.19%] [G loss: 1.084809]\n",
            "725 [D loss: 0.583326, acc.: 68.75%] [G loss: 1.017383]\n",
            "726 [D loss: 0.643913, acc.: 62.50%] [G loss: 0.919705]\n",
            "727 [D loss: 0.535381, acc.: 75.00%] [G loss: 0.926082]\n",
            "728 [D loss: 0.582853, acc.: 70.31%] [G loss: 0.844453]\n",
            "729 [D loss: 0.602554, acc.: 62.50%] [G loss: 0.927886]\n",
            "730 [D loss: 0.573162, acc.: 73.44%] [G loss: 0.972210]\n",
            "731 [D loss: 0.612685, acc.: 71.88%] [G loss: 0.919632]\n",
            "732 [D loss: 0.581653, acc.: 76.56%] [G loss: 0.902392]\n",
            "733 [D loss: 0.625825, acc.: 67.19%] [G loss: 0.969458]\n",
            "734 [D loss: 0.515177, acc.: 76.56%] [G loss: 1.000107]\n",
            "735 [D loss: 0.547526, acc.: 71.88%] [G loss: 0.996729]\n",
            "736 [D loss: 0.542988, acc.: 68.75%] [G loss: 1.005834]\n",
            "737 [D loss: 0.669154, acc.: 62.50%] [G loss: 1.002870]\n",
            "738 [D loss: 0.605150, acc.: 67.19%] [G loss: 0.917934]\n",
            "739 [D loss: 0.635297, acc.: 62.50%] [G loss: 0.936635]\n",
            "740 [D loss: 0.568520, acc.: 71.88%] [G loss: 1.067376]\n",
            "741 [D loss: 0.631700, acc.: 65.62%] [G loss: 0.964203]\n",
            "742 [D loss: 0.708102, acc.: 62.50%] [G loss: 0.961587]\n",
            "743 [D loss: 0.648257, acc.: 59.38%] [G loss: 0.946268]\n",
            "744 [D loss: 0.643639, acc.: 62.50%] [G loss: 1.009980]\n",
            "745 [D loss: 0.585049, acc.: 71.88%] [G loss: 1.035527]\n",
            "746 [D loss: 0.568957, acc.: 71.88%] [G loss: 0.964580]\n",
            "747 [D loss: 0.631667, acc.: 65.62%] [G loss: 1.024976]\n",
            "748 [D loss: 0.651400, acc.: 65.62%] [G loss: 0.925280]\n",
            "749 [D loss: 0.681116, acc.: 67.19%] [G loss: 1.032188]\n",
            "750 [D loss: 0.738226, acc.: 57.81%] [G loss: 0.926042]\n",
            "751 [D loss: 0.716849, acc.: 56.25%] [G loss: 0.909479]\n",
            "752 [D loss: 0.590305, acc.: 65.62%] [G loss: 0.931438]\n",
            "753 [D loss: 0.629959, acc.: 68.75%] [G loss: 0.846808]\n",
            "754 [D loss: 0.620489, acc.: 60.94%] [G loss: 0.815521]\n",
            "755 [D loss: 0.677580, acc.: 57.81%] [G loss: 0.851204]\n",
            "756 [D loss: 0.648142, acc.: 65.62%] [G loss: 0.967155]\n",
            "757 [D loss: 0.618042, acc.: 64.06%] [G loss: 1.000932]\n",
            "758 [D loss: 0.737989, acc.: 53.12%] [G loss: 0.987834]\n",
            "759 [D loss: 0.590300, acc.: 71.88%] [G loss: 0.920131]\n",
            "760 [D loss: 0.641426, acc.: 60.94%] [G loss: 0.990335]\n",
            "761 [D loss: 0.599618, acc.: 65.62%] [G loss: 0.878529]\n",
            "762 [D loss: 0.586242, acc.: 73.44%] [G loss: 0.901212]\n",
            "763 [D loss: 0.629793, acc.: 57.81%] [G loss: 0.776814]\n",
            "764 [D loss: 0.611743, acc.: 62.50%] [G loss: 0.914607]\n",
            "765 [D loss: 0.555079, acc.: 70.31%] [G loss: 1.021943]\n",
            "766 [D loss: 0.609645, acc.: 62.50%] [G loss: 0.986025]\n",
            "767 [D loss: 0.695099, acc.: 50.00%] [G loss: 0.940792]\n",
            "768 [D loss: 0.565409, acc.: 71.88%] [G loss: 0.935097]\n",
            "769 [D loss: 0.601974, acc.: 65.62%] [G loss: 0.898969]\n",
            "770 [D loss: 0.647460, acc.: 62.50%] [G loss: 1.017791]\n",
            "771 [D loss: 0.709978, acc.: 53.12%] [G loss: 0.868373]\n",
            "772 [D loss: 0.695311, acc.: 53.12%] [G loss: 0.885763]\n",
            "773 [D loss: 0.635964, acc.: 67.19%] [G loss: 0.884750]\n",
            "774 [D loss: 0.640930, acc.: 60.94%] [G loss: 0.953444]\n",
            "775 [D loss: 0.643220, acc.: 60.94%] [G loss: 0.878726]\n",
            "776 [D loss: 0.709581, acc.: 56.25%] [G loss: 0.920996]\n",
            "777 [D loss: 0.596650, acc.: 65.62%] [G loss: 0.906171]\n",
            "778 [D loss: 0.627447, acc.: 65.62%] [G loss: 0.979067]\n",
            "779 [D loss: 0.593916, acc.: 68.75%] [G loss: 0.936596]\n",
            "780 [D loss: 0.588208, acc.: 68.75%] [G loss: 0.868045]\n",
            "781 [D loss: 0.662138, acc.: 68.75%] [G loss: 0.868710]\n",
            "782 [D loss: 0.668290, acc.: 64.06%] [G loss: 0.996824]\n",
            "783 [D loss: 0.628121, acc.: 67.19%] [G loss: 0.807481]\n",
            "784 [D loss: 0.615296, acc.: 57.81%] [G loss: 1.001118]\n",
            "785 [D loss: 0.631723, acc.: 65.62%] [G loss: 0.935957]\n",
            "786 [D loss: 0.599277, acc.: 73.44%] [G loss: 0.984182]\n",
            "787 [D loss: 0.634658, acc.: 68.75%] [G loss: 0.919003]\n",
            "788 [D loss: 0.707033, acc.: 57.81%] [G loss: 0.960807]\n",
            "789 [D loss: 0.648836, acc.: 59.38%] [G loss: 0.890570]\n",
            "790 [D loss: 0.644321, acc.: 64.06%] [G loss: 0.930331]\n",
            "791 [D loss: 0.647849, acc.: 59.38%] [G loss: 0.894120]\n",
            "792 [D loss: 0.601891, acc.: 73.44%] [G loss: 0.946683]\n",
            "793 [D loss: 0.676923, acc.: 48.44%] [G loss: 0.913085]\n",
            "794 [D loss: 0.643815, acc.: 62.50%] [G loss: 0.902759]\n",
            "795 [D loss: 0.697283, acc.: 62.50%] [G loss: 0.909800]\n",
            "796 [D loss: 0.629850, acc.: 65.62%] [G loss: 0.925402]\n",
            "797 [D loss: 0.713475, acc.: 56.25%] [G loss: 0.935611]\n",
            "798 [D loss: 0.653060, acc.: 57.81%] [G loss: 0.902606]\n",
            "799 [D loss: 0.691415, acc.: 54.69%] [G loss: 0.851504]\n",
            "800 [D loss: 0.595091, acc.: 73.44%] [G loss: 0.918617]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "801 [D loss: 0.621460, acc.: 65.62%] [G loss: 0.959304]\n",
            "802 [D loss: 0.606607, acc.: 70.31%] [G loss: 0.914482]\n",
            "803 [D loss: 0.616455, acc.: 67.19%] [G loss: 0.843928]\n",
            "804 [D loss: 0.619670, acc.: 67.19%] [G loss: 0.909307]\n",
            "805 [D loss: 0.662582, acc.: 62.50%] [G loss: 0.892914]\n",
            "806 [D loss: 0.623970, acc.: 65.62%] [G loss: 0.955398]\n",
            "807 [D loss: 0.688100, acc.: 62.50%] [G loss: 0.844722]\n",
            "808 [D loss: 0.563345, acc.: 73.44%] [G loss: 0.898883]\n",
            "809 [D loss: 0.587348, acc.: 71.88%] [G loss: 0.905938]\n",
            "810 [D loss: 0.547964, acc.: 75.00%] [G loss: 0.905197]\n",
            "811 [D loss: 0.706584, acc.: 65.62%] [G loss: 0.973840]\n",
            "812 [D loss: 0.639148, acc.: 65.62%] [G loss: 1.025005]\n",
            "813 [D loss: 0.669563, acc.: 62.50%] [G loss: 0.945058]\n",
            "814 [D loss: 0.609570, acc.: 65.62%] [G loss: 0.952522]\n",
            "815 [D loss: 0.638163, acc.: 60.94%] [G loss: 0.944256]\n",
            "816 [D loss: 0.590887, acc.: 67.19%] [G loss: 0.945502]\n",
            "817 [D loss: 0.724411, acc.: 48.44%] [G loss: 0.826126]\n",
            "818 [D loss: 0.592634, acc.: 70.31%] [G loss: 0.930937]\n",
            "819 [D loss: 0.690536, acc.: 60.94%] [G loss: 0.944918]\n",
            "820 [D loss: 0.606828, acc.: 68.75%] [G loss: 0.848065]\n",
            "821 [D loss: 0.653684, acc.: 60.94%] [G loss: 0.769196]\n",
            "822 [D loss: 0.668072, acc.: 57.81%] [G loss: 0.904436]\n",
            "823 [D loss: 0.690662, acc.: 57.81%] [G loss: 0.863421]\n",
            "824 [D loss: 0.606016, acc.: 60.94%] [G loss: 0.936490]\n",
            "825 [D loss: 0.626071, acc.: 65.62%] [G loss: 0.857565]\n",
            "826 [D loss: 0.662323, acc.: 57.81%] [G loss: 0.853219]\n",
            "827 [D loss: 0.617760, acc.: 65.62%] [G loss: 0.957301]\n",
            "828 [D loss: 0.647047, acc.: 68.75%] [G loss: 0.846219]\n",
            "829 [D loss: 0.647470, acc.: 65.62%] [G loss: 0.818032]\n",
            "830 [D loss: 0.572018, acc.: 79.69%] [G loss: 0.957720]\n",
            "831 [D loss: 0.633007, acc.: 60.94%] [G loss: 0.870313]\n",
            "832 [D loss: 0.667423, acc.: 57.81%] [G loss: 0.936386]\n",
            "833 [D loss: 0.657600, acc.: 60.94%] [G loss: 0.983759]\n",
            "834 [D loss: 0.641115, acc.: 60.94%] [G loss: 0.854194]\n",
            "835 [D loss: 0.624983, acc.: 64.06%] [G loss: 0.832858]\n",
            "836 [D loss: 0.646858, acc.: 57.81%] [G loss: 0.909630]\n",
            "837 [D loss: 0.622661, acc.: 70.31%] [G loss: 0.862952]\n",
            "838 [D loss: 0.684973, acc.: 56.25%] [G loss: 0.984071]\n",
            "839 [D loss: 0.625982, acc.: 65.62%] [G loss: 0.847480]\n",
            "840 [D loss: 0.638204, acc.: 65.62%] [G loss: 0.835562]\n",
            "841 [D loss: 0.675709, acc.: 64.06%] [G loss: 0.901134]\n",
            "842 [D loss: 0.627876, acc.: 65.62%] [G loss: 0.782603]\n",
            "843 [D loss: 0.635321, acc.: 65.62%] [G loss: 0.874286]\n",
            "844 [D loss: 0.614635, acc.: 67.19%] [G loss: 0.924427]\n",
            "845 [D loss: 0.569591, acc.: 71.88%] [G loss: 0.905960]\n",
            "846 [D loss: 0.644726, acc.: 60.94%] [G loss: 0.806364]\n",
            "847 [D loss: 0.629739, acc.: 60.94%] [G loss: 0.873550]\n",
            "848 [D loss: 0.600764, acc.: 75.00%] [G loss: 0.858663]\n",
            "849 [D loss: 0.597589, acc.: 67.19%] [G loss: 0.960313]\n",
            "850 [D loss: 0.534354, acc.: 71.88%] [G loss: 0.945599]\n",
            "851 [D loss: 0.670182, acc.: 64.06%] [G loss: 0.920613]\n",
            "852 [D loss: 0.629686, acc.: 57.81%] [G loss: 0.936417]\n",
            "853 [D loss: 0.607864, acc.: 65.62%] [G loss: 0.934319]\n",
            "854 [D loss: 0.649484, acc.: 64.06%] [G loss: 0.965714]\n",
            "855 [D loss: 0.675867, acc.: 64.06%] [G loss: 0.959954]\n",
            "856 [D loss: 0.727368, acc.: 51.56%] [G loss: 0.901390]\n",
            "857 [D loss: 0.675593, acc.: 59.38%] [G loss: 0.887158]\n",
            "858 [D loss: 0.638695, acc.: 60.94%] [G loss: 0.904107]\n",
            "859 [D loss: 0.595115, acc.: 65.62%] [G loss: 1.007116]\n",
            "860 [D loss: 0.592544, acc.: 70.31%] [G loss: 0.868207]\n",
            "861 [D loss: 0.646188, acc.: 60.94%] [G loss: 0.927177]\n",
            "862 [D loss: 0.580350, acc.: 73.44%] [G loss: 0.898929]\n",
            "863 [D loss: 0.645395, acc.: 60.94%] [G loss: 0.859421]\n",
            "864 [D loss: 0.582904, acc.: 75.00%] [G loss: 0.797634]\n",
            "865 [D loss: 0.581678, acc.: 68.75%] [G loss: 0.743080]\n",
            "866 [D loss: 0.660566, acc.: 56.25%] [G loss: 0.823499]\n",
            "867 [D loss: 0.652729, acc.: 54.69%] [G loss: 0.836609]\n",
            "868 [D loss: 0.692276, acc.: 59.38%] [G loss: 0.780287]\n",
            "869 [D loss: 0.615433, acc.: 67.19%] [G loss: 0.895597]\n",
            "870 [D loss: 0.601640, acc.: 68.75%] [G loss: 0.964719]\n",
            "871 [D loss: 0.574283, acc.: 68.75%] [G loss: 0.966367]\n",
            "872 [D loss: 0.675419, acc.: 67.19%] [G loss: 0.906417]\n",
            "873 [D loss: 0.645482, acc.: 64.06%] [G loss: 0.912864]\n",
            "874 [D loss: 0.648679, acc.: 62.50%] [G loss: 0.989674]\n",
            "875 [D loss: 0.633087, acc.: 65.62%] [G loss: 0.885289]\n",
            "876 [D loss: 0.663558, acc.: 59.38%] [G loss: 0.858225]\n",
            "877 [D loss: 0.671053, acc.: 56.25%] [G loss: 0.943929]\n",
            "878 [D loss: 0.718489, acc.: 46.88%] [G loss: 0.971540]\n",
            "879 [D loss: 0.621714, acc.: 67.19%] [G loss: 0.918169]\n",
            "880 [D loss: 0.618908, acc.: 67.19%] [G loss: 0.916683]\n",
            "881 [D loss: 0.686972, acc.: 59.38%] [G loss: 0.939415]\n",
            "882 [D loss: 0.693085, acc.: 57.81%] [G loss: 0.883037]\n",
            "883 [D loss: 0.586275, acc.: 70.31%] [G loss: 0.917656]\n",
            "884 [D loss: 0.642340, acc.: 62.50%] [G loss: 0.947136]\n",
            "885 [D loss: 0.665555, acc.: 59.38%] [G loss: 0.895989]\n",
            "886 [D loss: 0.632632, acc.: 57.81%] [G loss: 0.951010]\n",
            "887 [D loss: 0.668090, acc.: 56.25%] [G loss: 0.768757]\n",
            "888 [D loss: 0.661143, acc.: 56.25%] [G loss: 0.925764]\n",
            "889 [D loss: 0.631308, acc.: 67.19%] [G loss: 0.858931]\n",
            "890 [D loss: 0.645493, acc.: 62.50%] [G loss: 0.867939]\n",
            "891 [D loss: 0.692956, acc.: 53.12%] [G loss: 0.857525]\n",
            "892 [D loss: 0.624415, acc.: 64.06%] [G loss: 0.818743]\n",
            "893 [D loss: 0.591511, acc.: 76.56%] [G loss: 0.918485]\n",
            "894 [D loss: 0.583016, acc.: 68.75%] [G loss: 0.894105]\n",
            "895 [D loss: 0.595830, acc.: 67.19%] [G loss: 0.867742]\n",
            "896 [D loss: 0.650890, acc.: 59.38%] [G loss: 0.788704]\n",
            "897 [D loss: 0.714936, acc.: 56.25%] [G loss: 0.870570]\n",
            "898 [D loss: 0.643289, acc.: 62.50%] [G loss: 0.769946]\n",
            "899 [D loss: 0.646127, acc.: 57.81%] [G loss: 0.747419]\n",
            "900 [D loss: 0.623595, acc.: 68.75%] [G loss: 0.890551]\n",
            "901 [D loss: 0.654153, acc.: 67.19%] [G loss: 0.898949]\n",
            "902 [D loss: 0.647759, acc.: 68.75%] [G loss: 0.920762]\n",
            "903 [D loss: 0.645380, acc.: 64.06%] [G loss: 0.849965]\n",
            "904 [D loss: 0.602635, acc.: 67.19%] [G loss: 0.861330]\n",
            "905 [D loss: 0.636636, acc.: 60.94%] [G loss: 0.906361]\n",
            "906 [D loss: 0.700376, acc.: 56.25%] [G loss: 0.852876]\n",
            "907 [D loss: 0.655492, acc.: 57.81%] [G loss: 0.938341]\n",
            "908 [D loss: 0.669381, acc.: 59.38%] [G loss: 0.884200]\n",
            "909 [D loss: 0.565154, acc.: 68.75%] [G loss: 0.973103]\n",
            "910 [D loss: 0.652744, acc.: 62.50%] [G loss: 0.936834]\n",
            "911 [D loss: 0.612412, acc.: 65.62%] [G loss: 0.945278]\n",
            "912 [D loss: 0.638886, acc.: 65.62%] [G loss: 0.832544]\n",
            "913 [D loss: 0.634632, acc.: 68.75%] [G loss: 0.856040]\n",
            "914 [D loss: 0.621775, acc.: 65.62%] [G loss: 0.873455]\n",
            "915 [D loss: 0.650466, acc.: 57.81%] [G loss: 0.779229]\n",
            "916 [D loss: 0.646551, acc.: 65.62%] [G loss: 0.791475]\n",
            "917 [D loss: 0.643070, acc.: 57.81%] [G loss: 0.808833]\n",
            "918 [D loss: 0.703525, acc.: 57.81%] [G loss: 0.769688]\n",
            "919 [D loss: 0.645982, acc.: 62.50%] [G loss: 0.917057]\n",
            "920 [D loss: 0.667977, acc.: 73.44%] [G loss: 0.991194]\n",
            "921 [D loss: 0.571591, acc.: 71.88%] [G loss: 0.968301]\n",
            "922 [D loss: 0.631590, acc.: 60.94%] [G loss: 0.859214]\n",
            "923 [D loss: 0.660301, acc.: 59.38%] [G loss: 0.837118]\n",
            "924 [D loss: 0.680161, acc.: 60.94%] [G loss: 0.804569]\n",
            "925 [D loss: 0.615293, acc.: 62.50%] [G loss: 0.861793]\n",
            "926 [D loss: 0.632647, acc.: 62.50%] [G loss: 0.851571]\n",
            "927 [D loss: 0.580625, acc.: 75.00%] [G loss: 0.796534]\n",
            "928 [D loss: 0.630194, acc.: 65.62%] [G loss: 0.867110]\n",
            "929 [D loss: 0.618340, acc.: 59.38%] [G loss: 0.843604]\n",
            "930 [D loss: 0.636389, acc.: 64.06%] [G loss: 0.861015]\n",
            "931 [D loss: 0.690497, acc.: 53.12%] [G loss: 0.922284]\n",
            "932 [D loss: 0.633240, acc.: 71.88%] [G loss: 0.818825]\n",
            "933 [D loss: 0.685620, acc.: 56.25%] [G loss: 0.803333]\n",
            "934 [D loss: 0.629882, acc.: 67.19%] [G loss: 0.819923]\n",
            "935 [D loss: 0.709532, acc.: 56.25%] [G loss: 0.900504]\n",
            "936 [D loss: 0.684690, acc.: 54.69%] [G loss: 0.858105]\n",
            "937 [D loss: 0.593600, acc.: 71.88%] [G loss: 0.848698]\n",
            "938 [D loss: 0.626797, acc.: 64.06%] [G loss: 0.907917]\n",
            "939 [D loss: 0.657977, acc.: 60.94%] [G loss: 0.830565]\n",
            "940 [D loss: 0.614525, acc.: 67.19%] [G loss: 0.806104]\n",
            "941 [D loss: 0.643681, acc.: 51.56%] [G loss: 0.899015]\n",
            "942 [D loss: 0.675444, acc.: 53.12%] [G loss: 0.797363]\n",
            "943 [D loss: 0.634622, acc.: 57.81%] [G loss: 0.911813]\n",
            "944 [D loss: 0.689324, acc.: 56.25%] [G loss: 0.925193]\n",
            "945 [D loss: 0.654670, acc.: 62.50%] [G loss: 0.852739]\n",
            "946 [D loss: 0.641524, acc.: 67.19%] [G loss: 0.910350]\n",
            "947 [D loss: 0.645796, acc.: 64.06%] [G loss: 0.833570]\n",
            "948 [D loss: 0.665339, acc.: 60.94%] [G loss: 0.864735]\n",
            "949 [D loss: 0.639366, acc.: 57.81%] [G loss: 0.894863]\n",
            "950 [D loss: 0.656596, acc.: 62.50%] [G loss: 0.963438]\n",
            "951 [D loss: 0.659418, acc.: 56.25%] [G loss: 0.893011]\n",
            "952 [D loss: 0.668140, acc.: 59.38%] [G loss: 0.889832]\n",
            "953 [D loss: 0.576728, acc.: 76.56%] [G loss: 0.984264]\n",
            "954 [D loss: 0.612781, acc.: 67.19%] [G loss: 0.869190]\n",
            "955 [D loss: 0.658966, acc.: 56.25%] [G loss: 1.016576]\n",
            "956 [D loss: 0.630750, acc.: 70.31%] [G loss: 0.886057]\n",
            "957 [D loss: 0.602196, acc.: 68.75%] [G loss: 0.822773]\n",
            "958 [D loss: 0.652551, acc.: 64.06%] [G loss: 0.896776]\n",
            "959 [D loss: 0.628831, acc.: 60.94%] [G loss: 0.860210]\n",
            "960 [D loss: 0.684849, acc.: 59.38%] [G loss: 0.922113]\n",
            "961 [D loss: 0.654069, acc.: 60.94%] [G loss: 0.777767]\n",
            "962 [D loss: 0.573565, acc.: 70.31%] [G loss: 0.940357]\n",
            "963 [D loss: 0.578656, acc.: 68.75%] [G loss: 0.940758]\n",
            "964 [D loss: 0.737457, acc.: 51.56%] [G loss: 0.803673]\n",
            "965 [D loss: 0.603812, acc.: 65.62%] [G loss: 0.901220]\n",
            "966 [D loss: 0.662822, acc.: 53.12%] [G loss: 0.792457]\n",
            "967 [D loss: 0.712437, acc.: 50.00%] [G loss: 0.865950]\n",
            "968 [D loss: 0.617533, acc.: 67.19%] [G loss: 0.854448]\n",
            "969 [D loss: 0.660399, acc.: 62.50%] [G loss: 0.822999]\n",
            "970 [D loss: 0.636505, acc.: 64.06%] [G loss: 0.864592]\n",
            "971 [D loss: 0.635106, acc.: 65.62%] [G loss: 0.844165]\n",
            "972 [D loss: 0.606014, acc.: 70.31%] [G loss: 0.924892]\n",
            "973 [D loss: 0.578756, acc.: 68.75%] [G loss: 0.906222]\n",
            "974 [D loss: 0.656825, acc.: 59.38%] [G loss: 0.873179]\n",
            "975 [D loss: 0.720815, acc.: 45.31%] [G loss: 0.821847]\n",
            "976 [D loss: 0.634583, acc.: 62.50%] [G loss: 0.818990]\n",
            "977 [D loss: 0.613462, acc.: 65.62%] [G loss: 0.831755]\n",
            "978 [D loss: 0.667797, acc.: 59.38%] [G loss: 0.904193]\n",
            "979 [D loss: 0.635859, acc.: 64.06%] [G loss: 0.825131]\n",
            "980 [D loss: 0.646147, acc.: 53.12%] [G loss: 0.727095]\n",
            "981 [D loss: 0.691502, acc.: 64.06%] [G loss: 0.861057]\n",
            "982 [D loss: 0.682683, acc.: 57.81%] [G loss: 0.899922]\n",
            "983 [D loss: 0.637156, acc.: 62.50%] [G loss: 0.962281]\n",
            "984 [D loss: 0.633026, acc.: 65.62%] [G loss: 0.918742]\n",
            "985 [D loss: 0.680930, acc.: 67.19%] [G loss: 0.793050]\n",
            "986 [D loss: 0.649242, acc.: 64.06%] [G loss: 0.843681]\n",
            "987 [D loss: 0.593326, acc.: 73.44%] [G loss: 0.841778]\n",
            "988 [D loss: 0.650170, acc.: 59.38%] [G loss: 0.872442]\n",
            "989 [D loss: 0.585869, acc.: 67.19%] [G loss: 0.940986]\n",
            "990 [D loss: 0.653983, acc.: 59.38%] [G loss: 0.881540]\n",
            "991 [D loss: 0.653943, acc.: 59.38%] [G loss: 0.927894]\n",
            "992 [D loss: 0.690189, acc.: 54.69%] [G loss: 0.823636]\n",
            "993 [D loss: 0.692388, acc.: 54.69%] [G loss: 0.776367]\n",
            "994 [D loss: 0.697685, acc.: 56.25%] [G loss: 0.780744]\n",
            "995 [D loss: 0.711457, acc.: 51.56%] [G loss: 0.883838]\n",
            "996 [D loss: 0.639101, acc.: 64.06%] [G loss: 0.886622]\n",
            "997 [D loss: 0.596657, acc.: 68.75%] [G loss: 0.936249]\n",
            "998 [D loss: 0.662500, acc.: 57.81%] [G loss: 0.885417]\n",
            "999 [D loss: 0.659174, acc.: 60.94%] [G loss: 0.903708]\n",
            "1000 [D loss: 0.623276, acc.: 62.50%] [G loss: 0.850250]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1001 [D loss: 0.627253, acc.: 65.62%] [G loss: 0.851430]\n",
            "1002 [D loss: 0.615491, acc.: 68.75%] [G loss: 0.814401]\n",
            "1003 [D loss: 0.674428, acc.: 54.69%] [G loss: 0.792729]\n",
            "1004 [D loss: 0.664418, acc.: 59.38%] [G loss: 0.813591]\n",
            "1005 [D loss: 0.658714, acc.: 57.81%] [G loss: 0.889262]\n",
            "1006 [D loss: 0.638583, acc.: 68.75%] [G loss: 1.008555]\n",
            "1007 [D loss: 0.721645, acc.: 50.00%] [G loss: 0.843607]\n",
            "1008 [D loss: 0.683971, acc.: 59.38%] [G loss: 0.858762]\n",
            "1009 [D loss: 0.628242, acc.: 60.94%] [G loss: 0.868571]\n",
            "1010 [D loss: 0.646278, acc.: 59.38%] [G loss: 0.861506]\n",
            "1011 [D loss: 0.623054, acc.: 68.75%] [G loss: 0.890734]\n",
            "1012 [D loss: 0.659975, acc.: 59.38%] [G loss: 0.891186]\n",
            "1013 [D loss: 0.678292, acc.: 56.25%] [G loss: 0.891115]\n",
            "1014 [D loss: 0.678649, acc.: 59.38%] [G loss: 0.857042]\n",
            "1015 [D loss: 0.596789, acc.: 70.31%] [G loss: 0.871513]\n",
            "1016 [D loss: 0.541742, acc.: 73.44%] [G loss: 0.818062]\n",
            "1017 [D loss: 0.635616, acc.: 64.06%] [G loss: 0.856562]\n",
            "1018 [D loss: 0.673033, acc.: 56.25%] [G loss: 0.946804]\n",
            "1019 [D loss: 0.683561, acc.: 65.62%] [G loss: 0.738890]\n",
            "1020 [D loss: 0.646897, acc.: 67.19%] [G loss: 0.866871]\n",
            "1021 [D loss: 0.578239, acc.: 70.31%] [G loss: 0.872123]\n",
            "1022 [D loss: 0.610081, acc.: 67.19%] [G loss: 0.919427]\n",
            "1023 [D loss: 0.677100, acc.: 64.06%] [G loss: 0.857872]\n",
            "1024 [D loss: 0.617787, acc.: 67.19%] [G loss: 0.832849]\n",
            "1025 [D loss: 0.597030, acc.: 62.50%] [G loss: 0.867504]\n",
            "1026 [D loss: 0.678547, acc.: 64.06%] [G loss: 0.889591]\n",
            "1027 [D loss: 0.638790, acc.: 59.38%] [G loss: 0.890013]\n",
            "1028 [D loss: 0.667397, acc.: 62.50%] [G loss: 0.860752]\n",
            "1029 [D loss: 0.664178, acc.: 60.94%] [G loss: 0.920355]\n",
            "1030 [D loss: 0.675977, acc.: 62.50%] [G loss: 0.849432]\n",
            "1031 [D loss: 0.631868, acc.: 68.75%] [G loss: 0.910181]\n",
            "1032 [D loss: 0.670802, acc.: 60.94%] [G loss: 0.869843]\n",
            "1033 [D loss: 0.621521, acc.: 70.31%] [G loss: 0.915436]\n",
            "1034 [D loss: 0.688028, acc.: 56.25%] [G loss: 0.850190]\n",
            "1035 [D loss: 0.626444, acc.: 68.75%] [G loss: 0.859887]\n",
            "1036 [D loss: 0.640798, acc.: 59.38%] [G loss: 0.900476]\n",
            "1037 [D loss: 0.648816, acc.: 67.19%] [G loss: 0.808021]\n",
            "1038 [D loss: 0.647558, acc.: 62.50%] [G loss: 0.771683]\n",
            "1039 [D loss: 0.681482, acc.: 53.12%] [G loss: 0.850249]\n",
            "1040 [D loss: 0.636766, acc.: 67.19%] [G loss: 0.815961]\n",
            "1041 [D loss: 0.657478, acc.: 60.94%] [G loss: 0.817803]\n",
            "1042 [D loss: 0.662428, acc.: 56.25%] [G loss: 0.881934]\n",
            "1043 [D loss: 0.639576, acc.: 64.06%] [G loss: 0.889411]\n",
            "1044 [D loss: 0.590625, acc.: 70.31%] [G loss: 0.832208]\n",
            "1045 [D loss: 0.606054, acc.: 68.75%] [G loss: 0.834736]\n",
            "1046 [D loss: 0.597240, acc.: 73.44%] [G loss: 0.800124]\n",
            "1047 [D loss: 0.604136, acc.: 68.75%] [G loss: 0.844661]\n",
            "1048 [D loss: 0.644150, acc.: 67.19%] [G loss: 0.884454]\n",
            "1049 [D loss: 0.663488, acc.: 60.94%] [G loss: 0.961289]\n",
            "1050 [D loss: 0.596961, acc.: 71.88%] [G loss: 0.876831]\n",
            "1051 [D loss: 0.672829, acc.: 59.38%] [G loss: 0.851907]\n",
            "1052 [D loss: 0.629842, acc.: 65.62%] [G loss: 0.878733]\n",
            "1053 [D loss: 0.671444, acc.: 64.06%] [G loss: 0.885646]\n",
            "1054 [D loss: 0.600891, acc.: 70.31%] [G loss: 0.887912]\n",
            "1055 [D loss: 0.649125, acc.: 60.94%] [G loss: 0.841720]\n",
            "1056 [D loss: 0.656148, acc.: 53.12%] [G loss: 0.819075]\n",
            "1057 [D loss: 0.705834, acc.: 45.31%] [G loss: 0.805226]\n",
            "1058 [D loss: 0.572925, acc.: 73.44%] [G loss: 0.748194]\n",
            "1059 [D loss: 0.623609, acc.: 64.06%] [G loss: 0.891564]\n",
            "1060 [D loss: 0.697833, acc.: 54.69%] [G loss: 0.895915]\n",
            "1061 [D loss: 0.645728, acc.: 62.50%] [G loss: 0.911867]\n",
            "1062 [D loss: 0.662479, acc.: 60.94%] [G loss: 0.789315]\n",
            "1063 [D loss: 0.638274, acc.: 65.62%] [G loss: 0.891049]\n",
            "1064 [D loss: 0.638162, acc.: 70.31%] [G loss: 1.012747]\n",
            "1065 [D loss: 0.698259, acc.: 54.69%] [G loss: 0.819040]\n",
            "1066 [D loss: 0.638851, acc.: 70.31%] [G loss: 0.906279]\n",
            "1067 [D loss: 0.683154, acc.: 65.62%] [G loss: 0.905948]\n",
            "1068 [D loss: 0.627598, acc.: 71.88%] [G loss: 0.818165]\n",
            "1069 [D loss: 0.649176, acc.: 59.38%] [G loss: 0.834008]\n",
            "1070 [D loss: 0.708348, acc.: 59.38%] [G loss: 0.783051]\n",
            "1071 [D loss: 0.657861, acc.: 64.06%] [G loss: 0.785136]\n",
            "1072 [D loss: 0.594389, acc.: 70.31%] [G loss: 0.874673]\n",
            "1073 [D loss: 0.615936, acc.: 64.06%] [G loss: 0.716891]\n",
            "1074 [D loss: 0.619618, acc.: 67.19%] [G loss: 0.908132]\n",
            "1075 [D loss: 0.575676, acc.: 75.00%] [G loss: 0.967004]\n",
            "1076 [D loss: 0.662028, acc.: 64.06%] [G loss: 0.977393]\n",
            "1077 [D loss: 0.677747, acc.: 64.06%] [G loss: 0.847871]\n",
            "1078 [D loss: 0.641559, acc.: 64.06%] [G loss: 0.852032]\n",
            "1079 [D loss: 0.621287, acc.: 60.94%] [G loss: 0.914553]\n",
            "1080 [D loss: 0.638155, acc.: 65.62%] [G loss: 0.874306]\n",
            "1081 [D loss: 0.703412, acc.: 48.44%] [G loss: 0.835558]\n",
            "1082 [D loss: 0.664669, acc.: 54.69%] [G loss: 0.837961]\n",
            "1083 [D loss: 0.636429, acc.: 57.81%] [G loss: 0.882389]\n",
            "1084 [D loss: 0.640549, acc.: 64.06%] [G loss: 0.804149]\n",
            "1085 [D loss: 0.664535, acc.: 53.12%] [G loss: 0.897630]\n",
            "1086 [D loss: 0.624564, acc.: 67.19%] [G loss: 0.847326]\n",
            "1087 [D loss: 0.684901, acc.: 51.56%] [G loss: 0.796407]\n",
            "1088 [D loss: 0.641277, acc.: 62.50%] [G loss: 0.858757]\n",
            "1089 [D loss: 0.634711, acc.: 60.94%] [G loss: 0.869028]\n",
            "1090 [D loss: 0.661440, acc.: 57.81%] [G loss: 0.976902]\n",
            "1091 [D loss: 0.630137, acc.: 62.50%] [G loss: 0.860764]\n",
            "1092 [D loss: 0.650799, acc.: 67.19%] [G loss: 0.948656]\n",
            "1093 [D loss: 0.708641, acc.: 53.12%] [G loss: 0.867673]\n",
            "1094 [D loss: 0.654133, acc.: 60.94%] [G loss: 0.891427]\n",
            "1095 [D loss: 0.636510, acc.: 65.62%] [G loss: 0.852466]\n",
            "1096 [D loss: 0.645031, acc.: 54.69%] [G loss: 0.897219]\n",
            "1097 [D loss: 0.639822, acc.: 62.50%] [G loss: 0.794273]\n",
            "1098 [D loss: 0.615841, acc.: 60.94%] [G loss: 0.891881]\n",
            "1099 [D loss: 0.706145, acc.: 50.00%] [G loss: 0.772702]\n",
            "1100 [D loss: 0.597940, acc.: 64.06%] [G loss: 0.865758]\n",
            "1101 [D loss: 0.651144, acc.: 53.12%] [G loss: 0.795481]\n",
            "1102 [D loss: 0.634326, acc.: 64.06%] [G loss: 0.844316]\n",
            "1103 [D loss: 0.669955, acc.: 59.38%] [G loss: 0.901815]\n",
            "1104 [D loss: 0.661404, acc.: 56.25%] [G loss: 0.787866]\n",
            "1105 [D loss: 0.614976, acc.: 68.75%] [G loss: 0.858851]\n",
            "1106 [D loss: 0.671542, acc.: 50.00%] [G loss: 0.851410]\n",
            "1107 [D loss: 0.651587, acc.: 59.38%] [G loss: 0.794673]\n",
            "1108 [D loss: 0.590924, acc.: 70.31%] [G loss: 0.852043]\n",
            "1109 [D loss: 0.605696, acc.: 71.88%] [G loss: 0.850825]\n",
            "1110 [D loss: 0.620086, acc.: 67.19%] [G loss: 0.760313]\n",
            "1111 [D loss: 0.689444, acc.: 59.38%] [G loss: 0.845076]\n",
            "1112 [D loss: 0.605813, acc.: 65.62%] [G loss: 0.808952]\n",
            "1113 [D loss: 0.665623, acc.: 65.62%] [G loss: 0.951061]\n",
            "1114 [D loss: 0.622473, acc.: 60.94%] [G loss: 0.992033]\n",
            "1115 [D loss: 0.602544, acc.: 67.19%] [G loss: 0.897804]\n",
            "1116 [D loss: 0.589550, acc.: 75.00%] [G loss: 0.802703]\n",
            "1117 [D loss: 0.641068, acc.: 59.38%] [G loss: 0.754191]\n",
            "1118 [D loss: 0.609557, acc.: 68.75%] [G loss: 0.898159]\n",
            "1119 [D loss: 0.543138, acc.: 75.00%] [G loss: 0.873302]\n",
            "1120 [D loss: 0.639227, acc.: 64.06%] [G loss: 0.886386]\n",
            "1121 [D loss: 0.556421, acc.: 81.25%] [G loss: 0.891211]\n",
            "1122 [D loss: 0.566279, acc.: 64.06%] [G loss: 0.971444]\n",
            "1123 [D loss: 0.586619, acc.: 71.88%] [G loss: 0.913517]\n",
            "1124 [D loss: 0.639378, acc.: 67.19%] [G loss: 0.883109]\n",
            "1125 [D loss: 0.557374, acc.: 68.75%] [G loss: 0.898751]\n",
            "1126 [D loss: 0.699380, acc.: 56.25%] [G loss: 0.921247]\n",
            "1127 [D loss: 0.638283, acc.: 62.50%] [G loss: 0.796328]\n",
            "1128 [D loss: 0.561914, acc.: 73.44%] [G loss: 0.867233]\n",
            "1129 [D loss: 0.588336, acc.: 65.62%] [G loss: 0.853796]\n",
            "1130 [D loss: 0.653361, acc.: 59.38%] [G loss: 0.926251]\n",
            "1131 [D loss: 0.690458, acc.: 54.69%] [G loss: 0.762562]\n",
            "1132 [D loss: 0.638893, acc.: 60.94%] [G loss: 0.861058]\n",
            "1133 [D loss: 0.610573, acc.: 65.62%] [G loss: 0.903371]\n",
            "1134 [D loss: 0.620940, acc.: 64.06%] [G loss: 0.988658]\n",
            "1135 [D loss: 0.628088, acc.: 70.31%] [G loss: 0.757489]\n",
            "1136 [D loss: 0.658707, acc.: 59.38%] [G loss: 0.828867]\n",
            "1137 [D loss: 0.632678, acc.: 59.38%] [G loss: 0.870876]\n",
            "1138 [D loss: 0.684788, acc.: 56.25%] [G loss: 0.936641]\n",
            "1139 [D loss: 0.590733, acc.: 71.88%] [G loss: 0.876187]\n",
            "1140 [D loss: 0.659617, acc.: 54.69%] [G loss: 0.812803]\n",
            "1141 [D loss: 0.715834, acc.: 48.44%] [G loss: 0.827731]\n",
            "1142 [D loss: 0.639756, acc.: 67.19%] [G loss: 0.849471]\n",
            "1143 [D loss: 0.533992, acc.: 76.56%] [G loss: 0.922646]\n",
            "1144 [D loss: 0.632766, acc.: 68.75%] [G loss: 0.847955]\n",
            "1145 [D loss: 0.657325, acc.: 59.38%] [G loss: 0.870186]\n",
            "1146 [D loss: 0.655427, acc.: 59.38%] [G loss: 0.955643]\n",
            "1147 [D loss: 0.668565, acc.: 59.38%] [G loss: 0.883571]\n",
            "1148 [D loss: 0.583973, acc.: 68.75%] [G loss: 0.837013]\n",
            "1149 [D loss: 0.663837, acc.: 62.50%] [G loss: 0.799188]\n",
            "1150 [D loss: 0.626264, acc.: 60.94%] [G loss: 0.876820]\n",
            "1151 [D loss: 0.695255, acc.: 59.38%] [G loss: 0.938992]\n",
            "1152 [D loss: 0.645922, acc.: 64.06%] [G loss: 0.922702]\n",
            "1153 [D loss: 0.596814, acc.: 70.31%] [G loss: 0.928903]\n",
            "1154 [D loss: 0.649031, acc.: 62.50%] [G loss: 0.912076]\n",
            "1155 [D loss: 0.690685, acc.: 50.00%] [G loss: 0.799699]\n",
            "1156 [D loss: 0.652512, acc.: 56.25%] [G loss: 0.888596]\n",
            "1157 [D loss: 0.664276, acc.: 67.19%] [G loss: 0.872528]\n",
            "1158 [D loss: 0.727008, acc.: 50.00%] [G loss: 0.935707]\n",
            "1159 [D loss: 0.576666, acc.: 73.44%] [G loss: 0.956274]\n",
            "1160 [D loss: 0.676152, acc.: 56.25%] [G loss: 0.983991]\n",
            "1161 [D loss: 0.658929, acc.: 67.19%] [G loss: 0.957076]\n",
            "1162 [D loss: 0.668368, acc.: 60.94%] [G loss: 0.811913]\n",
            "1163 [D loss: 0.681065, acc.: 57.81%] [G loss: 0.853758]\n",
            "1164 [D loss: 0.655233, acc.: 60.94%] [G loss: 0.822156]\n",
            "1165 [D loss: 0.619053, acc.: 64.06%] [G loss: 0.797708]\n",
            "1166 [D loss: 0.663372, acc.: 56.25%] [G loss: 0.764965]\n",
            "1167 [D loss: 0.673598, acc.: 51.56%] [G loss: 0.881493]\n",
            "1168 [D loss: 0.679650, acc.: 57.81%] [G loss: 0.852733]\n",
            "1169 [D loss: 0.627208, acc.: 64.06%] [G loss: 0.873603]\n",
            "1170 [D loss: 0.667707, acc.: 57.81%] [G loss: 0.778819]\n",
            "1171 [D loss: 0.648200, acc.: 64.06%] [G loss: 0.873196]\n",
            "1172 [D loss: 0.746422, acc.: 50.00%] [G loss: 0.792332]\n",
            "1173 [D loss: 0.628553, acc.: 62.50%] [G loss: 0.858864]\n",
            "1174 [D loss: 0.688789, acc.: 53.12%] [G loss: 0.847928]\n",
            "1175 [D loss: 0.621151, acc.: 64.06%] [G loss: 0.821432]\n",
            "1176 [D loss: 0.691200, acc.: 53.12%] [G loss: 0.900289]\n",
            "1177 [D loss: 0.609612, acc.: 71.88%] [G loss: 0.788458]\n",
            "1178 [D loss: 0.614076, acc.: 68.75%] [G loss: 0.837581]\n",
            "1179 [D loss: 0.623298, acc.: 65.62%] [G loss: 0.808805]\n",
            "1180 [D loss: 0.605065, acc.: 70.31%] [G loss: 0.909321]\n",
            "1181 [D loss: 0.727831, acc.: 48.44%] [G loss: 0.881047]\n",
            "1182 [D loss: 0.685011, acc.: 45.31%] [G loss: 0.875268]\n",
            "1183 [D loss: 0.580757, acc.: 73.44%] [G loss: 0.874624]\n",
            "1184 [D loss: 0.643547, acc.: 60.94%] [G loss: 0.957225]\n",
            "1185 [D loss: 0.696023, acc.: 65.62%] [G loss: 0.811153]\n",
            "1186 [D loss: 0.634514, acc.: 67.19%] [G loss: 0.856864]\n",
            "1187 [D loss: 0.624472, acc.: 64.06%] [G loss: 0.787350]\n",
            "1188 [D loss: 0.660013, acc.: 60.94%] [G loss: 0.885459]\n",
            "1189 [D loss: 0.675273, acc.: 57.81%] [G loss: 0.868094]\n",
            "1190 [D loss: 0.664700, acc.: 59.38%] [G loss: 0.817598]\n",
            "1191 [D loss: 0.681162, acc.: 59.38%] [G loss: 0.954870]\n",
            "1192 [D loss: 0.666633, acc.: 60.94%] [G loss: 0.813908]\n",
            "1193 [D loss: 0.727827, acc.: 48.44%] [G loss: 0.915481]\n",
            "1194 [D loss: 0.612188, acc.: 73.44%] [G loss: 0.835260]\n",
            "1195 [D loss: 0.609272, acc.: 67.19%] [G loss: 0.822610]\n",
            "1196 [D loss: 0.614669, acc.: 68.75%] [G loss: 0.863659]\n",
            "1197 [D loss: 0.588709, acc.: 70.31%] [G loss: 0.853541]\n",
            "1198 [D loss: 0.654178, acc.: 59.38%] [G loss: 0.901819]\n",
            "1199 [D loss: 0.666275, acc.: 54.69%] [G loss: 0.826860]\n",
            "1200 [D loss: 0.623442, acc.: 65.62%] [G loss: 0.901227]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1201 [D loss: 0.668667, acc.: 56.25%] [G loss: 0.798892]\n",
            "1202 [D loss: 0.598513, acc.: 75.00%] [G loss: 0.834107]\n",
            "1203 [D loss: 0.637594, acc.: 62.50%] [G loss: 0.747260]\n",
            "1204 [D loss: 0.656768, acc.: 59.38%] [G loss: 0.838882]\n",
            "1205 [D loss: 0.673275, acc.: 53.12%] [G loss: 0.822724]\n",
            "1206 [D loss: 0.669719, acc.: 57.81%] [G loss: 0.801371]\n",
            "1207 [D loss: 0.682634, acc.: 54.69%] [G loss: 0.789974]\n",
            "1208 [D loss: 0.637858, acc.: 67.19%] [G loss: 0.829166]\n",
            "1209 [D loss: 0.620316, acc.: 67.19%] [G loss: 0.908028]\n",
            "1210 [D loss: 0.632101, acc.: 67.19%] [G loss: 0.879583]\n",
            "1211 [D loss: 0.683933, acc.: 53.12%] [G loss: 0.913824]\n",
            "1212 [D loss: 0.652431, acc.: 62.50%] [G loss: 0.869663]\n",
            "1213 [D loss: 0.600307, acc.: 70.31%] [G loss: 0.826006]\n",
            "1214 [D loss: 0.586499, acc.: 67.19%] [G loss: 0.795113]\n",
            "1215 [D loss: 0.629955, acc.: 67.19%] [G loss: 0.855911]\n",
            "1216 [D loss: 0.614346, acc.: 67.19%] [G loss: 0.824549]\n",
            "1217 [D loss: 0.630059, acc.: 65.62%] [G loss: 0.902824]\n",
            "1218 [D loss: 0.589284, acc.: 67.19%] [G loss: 0.963166]\n",
            "1219 [D loss: 0.651374, acc.: 60.94%] [G loss: 0.811863]\n",
            "1220 [D loss: 0.685960, acc.: 56.25%] [G loss: 0.890667]\n",
            "1221 [D loss: 0.752111, acc.: 43.75%] [G loss: 0.795966]\n",
            "1222 [D loss: 0.674410, acc.: 59.38%] [G loss: 0.813812]\n",
            "1223 [D loss: 0.591853, acc.: 68.75%] [G loss: 0.876577]\n",
            "1224 [D loss: 0.690495, acc.: 57.81%] [G loss: 0.931823]\n",
            "1225 [D loss: 0.679078, acc.: 50.00%] [G loss: 0.867165]\n",
            "1226 [D loss: 0.618634, acc.: 65.62%] [G loss: 0.908807]\n",
            "1227 [D loss: 0.711802, acc.: 53.12%] [G loss: 0.888312]\n",
            "1228 [D loss: 0.639520, acc.: 64.06%] [G loss: 0.882083]\n",
            "1229 [D loss: 0.659283, acc.: 53.12%] [G loss: 0.905998]\n",
            "1230 [D loss: 0.670069, acc.: 60.94%] [G loss: 0.787722]\n",
            "1231 [D loss: 0.610488, acc.: 71.88%] [G loss: 0.899771]\n",
            "1232 [D loss: 0.669744, acc.: 56.25%] [G loss: 0.850015]\n",
            "1233 [D loss: 0.643278, acc.: 60.94%] [G loss: 0.926346]\n",
            "1234 [D loss: 0.671895, acc.: 50.00%] [G loss: 0.888895]\n",
            "1235 [D loss: 0.681099, acc.: 62.50%] [G loss: 0.884156]\n",
            "1236 [D loss: 0.644640, acc.: 59.38%] [G loss: 0.850635]\n",
            "1237 [D loss: 0.704720, acc.: 59.38%] [G loss: 0.800489]\n",
            "1238 [D loss: 0.645616, acc.: 62.50%] [G loss: 0.767726]\n",
            "1239 [D loss: 0.646683, acc.: 60.94%] [G loss: 0.847243]\n",
            "1240 [D loss: 0.626562, acc.: 65.62%] [G loss: 0.817198]\n",
            "1241 [D loss: 0.650461, acc.: 54.69%] [G loss: 0.877346]\n",
            "1242 [D loss: 0.613150, acc.: 70.31%] [G loss: 0.825395]\n",
            "1243 [D loss: 0.620770, acc.: 70.31%] [G loss: 0.856980]\n",
            "1244 [D loss: 0.659503, acc.: 64.06%] [G loss: 0.833918]\n",
            "1245 [D loss: 0.628580, acc.: 59.38%] [G loss: 0.900281]\n",
            "1246 [D loss: 0.608136, acc.: 68.75%] [G loss: 0.822791]\n",
            "1247 [D loss: 0.626780, acc.: 65.62%] [G loss: 0.832700]\n",
            "1248 [D loss: 0.626026, acc.: 65.62%] [G loss: 0.809752]\n",
            "1249 [D loss: 0.691984, acc.: 56.25%] [G loss: 0.824908]\n",
            "1250 [D loss: 0.604976, acc.: 67.19%] [G loss: 0.806734]\n",
            "1251 [D loss: 0.662554, acc.: 60.94%] [G loss: 0.876744]\n",
            "1252 [D loss: 0.607210, acc.: 68.75%] [G loss: 0.856105]\n",
            "1253 [D loss: 0.611102, acc.: 65.62%] [G loss: 0.834501]\n",
            "1254 [D loss: 0.624801, acc.: 73.44%] [G loss: 0.765615]\n",
            "1255 [D loss: 0.665194, acc.: 59.38%] [G loss: 0.845524]\n",
            "1256 [D loss: 0.641399, acc.: 65.62%] [G loss: 0.825187]\n",
            "1257 [D loss: 0.626994, acc.: 62.50%] [G loss: 0.905844]\n",
            "1258 [D loss: 0.605391, acc.: 68.75%] [G loss: 0.876727]\n",
            "1259 [D loss: 0.628852, acc.: 59.38%] [G loss: 0.864446]\n",
            "1260 [D loss: 0.576501, acc.: 71.88%] [G loss: 0.905932]\n",
            "1261 [D loss: 0.645869, acc.: 62.50%] [G loss: 0.814879]\n",
            "1262 [D loss: 0.631990, acc.: 62.50%] [G loss: 0.910733]\n",
            "1263 [D loss: 0.607961, acc.: 62.50%] [G loss: 0.845333]\n",
            "1264 [D loss: 0.670753, acc.: 57.81%] [G loss: 0.822229]\n",
            "1265 [D loss: 0.637290, acc.: 62.50%] [G loss: 0.774824]\n",
            "1266 [D loss: 0.627673, acc.: 65.62%] [G loss: 0.882903]\n",
            "1267 [D loss: 0.679188, acc.: 56.25%] [G loss: 0.775254]\n",
            "1268 [D loss: 0.609318, acc.: 65.62%] [G loss: 0.809368]\n",
            "1269 [D loss: 0.634804, acc.: 59.38%] [G loss: 0.873919]\n",
            "1270 [D loss: 0.630195, acc.: 57.81%] [G loss: 0.867130]\n",
            "1271 [D loss: 0.590343, acc.: 71.88%] [G loss: 0.846552]\n",
            "1272 [D loss: 0.614332, acc.: 67.19%] [G loss: 0.844997]\n",
            "1273 [D loss: 0.655142, acc.: 57.81%] [G loss: 0.890445]\n",
            "1274 [D loss: 0.686529, acc.: 43.75%] [G loss: 0.909518]\n",
            "1275 [D loss: 0.673758, acc.: 57.81%] [G loss: 0.892981]\n",
            "1276 [D loss: 0.623179, acc.: 62.50%] [G loss: 0.875981]\n",
            "1277 [D loss: 0.616495, acc.: 67.19%] [G loss: 0.853792]\n",
            "1278 [D loss: 0.581392, acc.: 73.44%] [G loss: 0.896955]\n",
            "1279 [D loss: 0.588065, acc.: 64.06%] [G loss: 0.952793]\n",
            "1280 [D loss: 0.678123, acc.: 60.94%] [G loss: 0.815116]\n",
            "1281 [D loss: 0.662592, acc.: 57.81%] [G loss: 0.895213]\n",
            "1282 [D loss: 0.659887, acc.: 64.06%] [G loss: 0.944072]\n",
            "1283 [D loss: 0.699132, acc.: 59.38%] [G loss: 0.770746]\n",
            "1284 [D loss: 0.648043, acc.: 67.19%] [G loss: 0.872075]\n",
            "1285 [D loss: 0.564899, acc.: 76.56%] [G loss: 0.829477]\n",
            "1286 [D loss: 0.640258, acc.: 70.31%] [G loss: 0.860508]\n",
            "1287 [D loss: 0.650464, acc.: 64.06%] [G loss: 0.991448]\n",
            "1288 [D loss: 0.596038, acc.: 67.19%] [G loss: 0.836708]\n",
            "1289 [D loss: 0.590363, acc.: 67.19%] [G loss: 0.893531]\n",
            "1290 [D loss: 0.681502, acc.: 57.81%] [G loss: 0.951042]\n",
            "1291 [D loss: 0.605304, acc.: 68.75%] [G loss: 0.872820]\n",
            "1292 [D loss: 0.594156, acc.: 67.19%] [G loss: 0.904333]\n",
            "1293 [D loss: 0.573037, acc.: 78.12%] [G loss: 0.858769]\n",
            "1294 [D loss: 0.714359, acc.: 53.12%] [G loss: 0.839142]\n",
            "1295 [D loss: 0.657694, acc.: 56.25%] [G loss: 0.893469]\n",
            "1296 [D loss: 0.660449, acc.: 64.06%] [G loss: 0.801598]\n",
            "1297 [D loss: 0.622420, acc.: 68.75%] [G loss: 0.943136]\n",
            "1298 [D loss: 0.670975, acc.: 59.38%] [G loss: 0.988120]\n",
            "1299 [D loss: 0.601766, acc.: 67.19%] [G loss: 0.837879]\n",
            "1300 [D loss: 0.606544, acc.: 64.06%] [G loss: 0.930110]\n",
            "1301 [D loss: 0.672574, acc.: 59.38%] [G loss: 0.865844]\n",
            "1302 [D loss: 0.587317, acc.: 67.19%] [G loss: 0.998303]\n",
            "1303 [D loss: 0.642007, acc.: 65.62%] [G loss: 0.843928]\n",
            "1304 [D loss: 0.693874, acc.: 56.25%] [G loss: 0.857288]\n",
            "1305 [D loss: 0.663461, acc.: 56.25%] [G loss: 0.813895]\n",
            "1306 [D loss: 0.614092, acc.: 59.38%] [G loss: 0.887875]\n",
            "1307 [D loss: 0.658381, acc.: 56.25%] [G loss: 0.867758]\n",
            "1308 [D loss: 0.623497, acc.: 67.19%] [G loss: 0.863817]\n",
            "1309 [D loss: 0.659939, acc.: 51.56%] [G loss: 0.891533]\n",
            "1310 [D loss: 0.593143, acc.: 71.88%] [G loss: 0.903184]\n",
            "1311 [D loss: 0.582344, acc.: 78.12%] [G loss: 0.880418]\n",
            "1312 [D loss: 0.591690, acc.: 71.88%] [G loss: 0.941654]\n",
            "1313 [D loss: 0.627198, acc.: 64.06%] [G loss: 0.840591]\n",
            "1314 [D loss: 0.679736, acc.: 51.56%] [G loss: 0.826293]\n",
            "1315 [D loss: 0.616414, acc.: 71.88%] [G loss: 0.819630]\n",
            "1316 [D loss: 0.645804, acc.: 65.62%] [G loss: 0.830977]\n",
            "1317 [D loss: 0.617487, acc.: 56.25%] [G loss: 0.840729]\n",
            "1318 [D loss: 0.646281, acc.: 59.38%] [G loss: 0.926424]\n",
            "1319 [D loss: 0.624752, acc.: 68.75%] [G loss: 0.940451]\n",
            "1320 [D loss: 0.648912, acc.: 62.50%] [G loss: 0.824311]\n",
            "1321 [D loss: 0.646889, acc.: 60.94%] [G loss: 0.879909]\n",
            "1322 [D loss: 0.681976, acc.: 56.25%] [G loss: 0.813754]\n",
            "1323 [D loss: 0.597042, acc.: 71.88%] [G loss: 0.920835]\n",
            "1324 [D loss: 0.651587, acc.: 65.62%] [G loss: 0.955585]\n",
            "1325 [D loss: 0.632953, acc.: 67.19%] [G loss: 0.817941]\n",
            "1326 [D loss: 0.564789, acc.: 71.88%] [G loss: 0.908349]\n",
            "1327 [D loss: 0.595195, acc.: 75.00%] [G loss: 0.859499]\n",
            "1328 [D loss: 0.652853, acc.: 68.75%] [G loss: 0.863875]\n",
            "1329 [D loss: 0.601923, acc.: 68.75%] [G loss: 0.836586]\n",
            "1330 [D loss: 0.590698, acc.: 65.62%] [G loss: 0.891420]\n",
            "1331 [D loss: 0.609514, acc.: 71.88%] [G loss: 0.877380]\n",
            "1332 [D loss: 0.633806, acc.: 59.38%] [G loss: 0.972434]\n",
            "1333 [D loss: 0.631894, acc.: 62.50%] [G loss: 0.847909]\n",
            "1334 [D loss: 0.631442, acc.: 62.50%] [G loss: 0.904343]\n",
            "1335 [D loss: 0.612057, acc.: 73.44%] [G loss: 0.823579]\n",
            "1336 [D loss: 0.644422, acc.: 59.38%] [G loss: 0.801231]\n",
            "1337 [D loss: 0.621504, acc.: 65.62%] [G loss: 0.868141]\n",
            "1338 [D loss: 0.562519, acc.: 73.44%] [G loss: 0.829504]\n",
            "1339 [D loss: 0.693142, acc.: 56.25%] [G loss: 0.857894]\n",
            "1340 [D loss: 0.652270, acc.: 62.50%] [G loss: 0.851357]\n",
            "1341 [D loss: 0.680081, acc.: 51.56%] [G loss: 0.816612]\n",
            "1342 [D loss: 0.603436, acc.: 70.31%] [G loss: 0.879372]\n",
            "1343 [D loss: 0.636525, acc.: 67.19%] [G loss: 0.874407]\n",
            "1344 [D loss: 0.635179, acc.: 62.50%] [G loss: 0.946179]\n",
            "1345 [D loss: 0.600667, acc.: 67.19%] [G loss: 0.897266]\n",
            "1346 [D loss: 0.701125, acc.: 59.38%] [G loss: 0.837341]\n",
            "1347 [D loss: 0.622433, acc.: 70.31%] [G loss: 0.936177]\n",
            "1348 [D loss: 0.612008, acc.: 70.31%] [G loss: 0.968186]\n",
            "1349 [D loss: 0.602731, acc.: 73.44%] [G loss: 0.999870]\n",
            "1350 [D loss: 0.630826, acc.: 65.62%] [G loss: 0.933004]\n",
            "1351 [D loss: 0.753181, acc.: 39.06%] [G loss: 0.845312]\n",
            "1352 [D loss: 0.648409, acc.: 60.94%] [G loss: 0.848078]\n",
            "1353 [D loss: 0.670311, acc.: 57.81%] [G loss: 0.882681]\n",
            "1354 [D loss: 0.549099, acc.: 76.56%] [G loss: 0.815265]\n",
            "1355 [D loss: 0.605159, acc.: 68.75%] [G loss: 0.910902]\n",
            "1356 [D loss: 0.662241, acc.: 54.69%] [G loss: 0.827484]\n",
            "1357 [D loss: 0.637713, acc.: 60.94%] [G loss: 0.862685]\n",
            "1358 [D loss: 0.669054, acc.: 62.50%] [G loss: 0.821345]\n",
            "1359 [D loss: 0.618126, acc.: 57.81%] [G loss: 0.833952]\n",
            "1360 [D loss: 0.692130, acc.: 50.00%] [G loss: 0.904704]\n",
            "1361 [D loss: 0.628794, acc.: 64.06%] [G loss: 0.836942]\n",
            "1362 [D loss: 0.654270, acc.: 59.38%] [G loss: 0.887561]\n",
            "1363 [D loss: 0.624175, acc.: 75.00%] [G loss: 0.961592]\n",
            "1364 [D loss: 0.643202, acc.: 57.81%] [G loss: 0.954844]\n",
            "1365 [D loss: 0.598911, acc.: 62.50%] [G loss: 0.948240]\n",
            "1366 [D loss: 0.684220, acc.: 56.25%] [G loss: 0.874274]\n",
            "1367 [D loss: 0.615305, acc.: 67.19%] [G loss: 0.937633]\n",
            "1368 [D loss: 0.639200, acc.: 64.06%] [G loss: 0.955137]\n",
            "1369 [D loss: 0.673599, acc.: 62.50%] [G loss: 0.909961]\n",
            "1370 [D loss: 0.671654, acc.: 57.81%] [G loss: 0.828367]\n",
            "1371 [D loss: 0.582441, acc.: 70.31%] [G loss: 0.883877]\n",
            "1372 [D loss: 0.666132, acc.: 64.06%] [G loss: 0.972332]\n",
            "1373 [D loss: 0.664167, acc.: 65.62%] [G loss: 0.865846]\n",
            "1374 [D loss: 0.622003, acc.: 68.75%] [G loss: 0.813753]\n",
            "1375 [D loss: 0.635984, acc.: 60.94%] [G loss: 0.793142]\n",
            "1376 [D loss: 0.648447, acc.: 62.50%] [G loss: 0.877917]\n",
            "1377 [D loss: 0.640437, acc.: 64.06%] [G loss: 0.882290]\n",
            "1378 [D loss: 0.683050, acc.: 53.12%] [G loss: 0.912744]\n",
            "1379 [D loss: 0.633420, acc.: 57.81%] [G loss: 0.869821]\n",
            "1380 [D loss: 0.618846, acc.: 73.44%] [G loss: 0.831262]\n",
            "1381 [D loss: 0.642847, acc.: 67.19%] [G loss: 0.810705]\n",
            "1382 [D loss: 0.656772, acc.: 54.69%] [G loss: 0.843737]\n",
            "1383 [D loss: 0.705160, acc.: 53.12%] [G loss: 0.833116]\n",
            "1384 [D loss: 0.622364, acc.: 65.62%] [G loss: 0.865771]\n",
            "1385 [D loss: 0.588683, acc.: 64.06%] [G loss: 0.815857]\n",
            "1386 [D loss: 0.677304, acc.: 56.25%] [G loss: 0.861070]\n",
            "1387 [D loss: 0.749396, acc.: 46.88%] [G loss: 0.809737]\n",
            "1388 [D loss: 0.677910, acc.: 53.12%] [G loss: 0.801614]\n",
            "1389 [D loss: 0.640033, acc.: 59.38%] [G loss: 0.919185]\n",
            "1390 [D loss: 0.608763, acc.: 68.75%] [G loss: 0.837616]\n",
            "1391 [D loss: 0.710483, acc.: 48.44%] [G loss: 0.853181]\n",
            "1392 [D loss: 0.588275, acc.: 78.12%] [G loss: 0.813136]\n",
            "1393 [D loss: 0.614282, acc.: 68.75%] [G loss: 0.776043]\n",
            "1394 [D loss: 0.720308, acc.: 59.38%] [G loss: 0.754737]\n",
            "1395 [D loss: 0.624939, acc.: 71.88%] [G loss: 0.787773]\n",
            "1396 [D loss: 0.578752, acc.: 70.31%] [G loss: 0.764221]\n",
            "1397 [D loss: 0.663986, acc.: 59.38%] [G loss: 0.875649]\n",
            "1398 [D loss: 0.625443, acc.: 56.25%] [G loss: 0.919854]\n",
            "1399 [D loss: 0.569948, acc.: 68.75%] [G loss: 0.857886]\n",
            "1400 [D loss: 0.673242, acc.: 59.38%] [G loss: 0.916123]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1401 [D loss: 0.600809, acc.: 70.31%] [G loss: 0.957719]\n",
            "1402 [D loss: 0.643725, acc.: 68.75%] [G loss: 0.899322]\n",
            "1403 [D loss: 0.708102, acc.: 51.56%] [G loss: 0.808422]\n",
            "1404 [D loss: 0.675234, acc.: 60.94%] [G loss: 0.870139]\n",
            "1405 [D loss: 0.615892, acc.: 65.62%] [G loss: 0.856859]\n",
            "1406 [D loss: 0.652700, acc.: 59.38%] [G loss: 0.859468]\n",
            "1407 [D loss: 0.607770, acc.: 60.94%] [G loss: 0.904619]\n",
            "1408 [D loss: 0.598775, acc.: 60.94%] [G loss: 0.903883]\n",
            "1409 [D loss: 0.615099, acc.: 71.88%] [G loss: 0.887397]\n",
            "1410 [D loss: 0.666179, acc.: 59.38%] [G loss: 0.891997]\n",
            "1411 [D loss: 0.663639, acc.: 57.81%] [G loss: 0.888000]\n",
            "1412 [D loss: 0.672260, acc.: 57.81%] [G loss: 0.807956]\n",
            "1413 [D loss: 0.692899, acc.: 48.44%] [G loss: 0.885647]\n",
            "1414 [D loss: 0.701502, acc.: 62.50%] [G loss: 0.888620]\n",
            "1415 [D loss: 0.630480, acc.: 64.06%] [G loss: 0.809093]\n",
            "1416 [D loss: 0.630093, acc.: 65.62%] [G loss: 0.860728]\n",
            "1417 [D loss: 0.671389, acc.: 56.25%] [G loss: 0.831901]\n",
            "1418 [D loss: 0.623562, acc.: 70.31%] [G loss: 1.026816]\n",
            "1419 [D loss: 0.624942, acc.: 67.19%] [G loss: 0.844550]\n",
            "1420 [D loss: 0.670705, acc.: 64.06%] [G loss: 0.890180]\n",
            "1421 [D loss: 0.656690, acc.: 65.62%] [G loss: 0.938251]\n",
            "1422 [D loss: 0.585933, acc.: 71.88%] [G loss: 0.901578]\n",
            "1423 [D loss: 0.598109, acc.: 65.62%] [G loss: 0.857382]\n",
            "1424 [D loss: 0.705806, acc.: 54.69%] [G loss: 0.861264]\n",
            "1425 [D loss: 0.590975, acc.: 71.88%] [G loss: 0.838643]\n",
            "1426 [D loss: 0.621417, acc.: 65.62%] [G loss: 0.854814]\n",
            "1427 [D loss: 0.655498, acc.: 59.38%] [G loss: 0.863238]\n",
            "1428 [D loss: 0.622667, acc.: 62.50%] [G loss: 0.862938]\n",
            "1429 [D loss: 0.673821, acc.: 59.38%] [G loss: 0.795423]\n",
            "1430 [D loss: 0.586914, acc.: 68.75%] [G loss: 0.888500]\n",
            "1431 [D loss: 0.661796, acc.: 64.06%] [G loss: 0.812492]\n",
            "1432 [D loss: 0.608325, acc.: 62.50%] [G loss: 0.863123]\n",
            "1433 [D loss: 0.672807, acc.: 48.44%] [G loss: 0.814277]\n",
            "1434 [D loss: 0.608862, acc.: 73.44%] [G loss: 0.826601]\n",
            "1435 [D loss: 0.662679, acc.: 59.38%] [G loss: 0.805903]\n",
            "1436 [D loss: 0.573255, acc.: 78.12%] [G loss: 0.839418]\n",
            "1437 [D loss: 0.586053, acc.: 78.12%] [G loss: 0.973723]\n",
            "1438 [D loss: 0.665176, acc.: 57.81%] [G loss: 0.837350]\n",
            "1439 [D loss: 0.671382, acc.: 62.50%] [G loss: 0.896525]\n",
            "1440 [D loss: 0.632653, acc.: 60.94%] [G loss: 0.759424]\n",
            "1441 [D loss: 0.636748, acc.: 64.06%] [G loss: 0.752143]\n",
            "1442 [D loss: 0.649170, acc.: 64.06%] [G loss: 0.847029]\n",
            "1443 [D loss: 0.618212, acc.: 62.50%] [G loss: 0.795377]\n",
            "1444 [D loss: 0.666591, acc.: 59.38%] [G loss: 0.795420]\n",
            "1445 [D loss: 0.677925, acc.: 57.81%] [G loss: 0.908010]\n",
            "1446 [D loss: 0.596947, acc.: 64.06%] [G loss: 0.970473]\n",
            "1447 [D loss: 0.684079, acc.: 45.31%] [G loss: 0.899353]\n",
            "1448 [D loss: 0.647166, acc.: 64.06%] [G loss: 0.820898]\n",
            "1449 [D loss: 0.643903, acc.: 60.94%] [G loss: 0.934220]\n",
            "1450 [D loss: 0.637866, acc.: 62.50%] [G loss: 0.798222]\n",
            "1451 [D loss: 0.623748, acc.: 70.31%] [G loss: 0.918016]\n",
            "1452 [D loss: 0.683461, acc.: 56.25%] [G loss: 0.858767]\n",
            "1453 [D loss: 0.623363, acc.: 68.75%] [G loss: 0.814922]\n",
            "1454 [D loss: 0.578361, acc.: 73.44%] [G loss: 0.775620]\n",
            "1455 [D loss: 0.643019, acc.: 62.50%] [G loss: 0.878461]\n",
            "1456 [D loss: 0.652884, acc.: 62.50%] [G loss: 0.792419]\n",
            "1457 [D loss: 0.677547, acc.: 54.69%] [G loss: 0.860682]\n",
            "1458 [D loss: 0.585535, acc.: 71.88%] [G loss: 0.919253]\n",
            "1459 [D loss: 0.645879, acc.: 62.50%] [G loss: 0.888695]\n",
            "1460 [D loss: 0.641503, acc.: 62.50%] [G loss: 0.770738]\n",
            "1461 [D loss: 0.658713, acc.: 54.69%] [G loss: 0.805380]\n",
            "1462 [D loss: 0.637584, acc.: 59.38%] [G loss: 0.783167]\n",
            "1463 [D loss: 0.637608, acc.: 67.19%] [G loss: 0.812561]\n",
            "1464 [D loss: 0.619271, acc.: 60.94%] [G loss: 0.806802]\n",
            "1465 [D loss: 0.607186, acc.: 65.62%] [G loss: 0.872235]\n",
            "1466 [D loss: 0.686060, acc.: 64.06%] [G loss: 0.934302]\n",
            "1467 [D loss: 0.581725, acc.: 71.88%] [G loss: 0.946587]\n",
            "1468 [D loss: 0.678924, acc.: 59.38%] [G loss: 0.895775]\n",
            "1469 [D loss: 0.635996, acc.: 57.81%] [G loss: 0.862471]\n",
            "1470 [D loss: 0.646811, acc.: 71.88%] [G loss: 0.915368]\n",
            "1471 [D loss: 0.642429, acc.: 64.06%] [G loss: 0.939641]\n",
            "1472 [D loss: 0.611164, acc.: 68.75%] [G loss: 0.887217]\n",
            "1473 [D loss: 0.652599, acc.: 59.38%] [G loss: 0.875706]\n",
            "1474 [D loss: 0.659838, acc.: 59.38%] [G loss: 0.851183]\n",
            "1475 [D loss: 0.632541, acc.: 57.81%] [G loss: 0.839955]\n",
            "1476 [D loss: 0.590707, acc.: 73.44%] [G loss: 0.824582]\n",
            "1477 [D loss: 0.637730, acc.: 65.62%] [G loss: 0.766113]\n",
            "1478 [D loss: 0.629138, acc.: 62.50%] [G loss: 0.788998]\n",
            "1479 [D loss: 0.621236, acc.: 68.75%] [G loss: 0.808757]\n",
            "1480 [D loss: 0.595062, acc.: 67.19%] [G loss: 0.808536]\n",
            "1481 [D loss: 0.630017, acc.: 59.38%] [G loss: 0.914778]\n",
            "1482 [D loss: 0.633062, acc.: 64.06%] [G loss: 0.813237]\n",
            "1483 [D loss: 0.668844, acc.: 60.94%] [G loss: 0.908745]\n",
            "1484 [D loss: 0.551195, acc.: 78.12%] [G loss: 0.924169]\n",
            "1485 [D loss: 0.619006, acc.: 65.62%] [G loss: 0.846098]\n",
            "1486 [D loss: 0.663496, acc.: 59.38%] [G loss: 0.907674]\n",
            "1487 [D loss: 0.637808, acc.: 64.06%] [G loss: 0.873288]\n",
            "1488 [D loss: 0.612594, acc.: 64.06%] [G loss: 0.843995]\n",
            "1489 [D loss: 0.677982, acc.: 59.38%] [G loss: 0.890420]\n",
            "1490 [D loss: 0.619308, acc.: 60.94%] [G loss: 0.967897]\n",
            "1491 [D loss: 0.576849, acc.: 75.00%] [G loss: 0.861589]\n",
            "1492 [D loss: 0.655626, acc.: 59.38%] [G loss: 0.869471]\n",
            "1493 [D loss: 0.599563, acc.: 73.44%] [G loss: 0.880975]\n",
            "1494 [D loss: 0.637545, acc.: 65.62%] [G loss: 0.824664]\n",
            "1495 [D loss: 0.633658, acc.: 54.69%] [G loss: 0.872466]\n",
            "1496 [D loss: 0.614298, acc.: 59.38%] [G loss: 0.876118]\n",
            "1497 [D loss: 0.628965, acc.: 62.50%] [G loss: 0.822818]\n",
            "1498 [D loss: 0.659181, acc.: 59.38%] [G loss: 0.901172]\n",
            "1499 [D loss: 0.678199, acc.: 53.12%] [G loss: 0.901193]\n",
            "1500 [D loss: 0.650499, acc.: 60.94%] [G loss: 0.757250]\n",
            "1501 [D loss: 0.677168, acc.: 56.25%] [G loss: 0.731841]\n",
            "1502 [D loss: 0.650929, acc.: 60.94%] [G loss: 0.893654]\n",
            "1503 [D loss: 0.690863, acc.: 50.00%] [G loss: 1.032715]\n",
            "1504 [D loss: 0.680071, acc.: 56.25%] [G loss: 0.868739]\n",
            "1505 [D loss: 0.622334, acc.: 62.50%] [G loss: 0.855205]\n",
            "1506 [D loss: 0.628305, acc.: 70.31%] [G loss: 0.828186]\n",
            "1507 [D loss: 0.634738, acc.: 64.06%] [G loss: 0.876496]\n",
            "1508 [D loss: 0.613140, acc.: 64.06%] [G loss: 0.896742]\n",
            "1509 [D loss: 0.599173, acc.: 65.62%] [G loss: 0.850541]\n",
            "1510 [D loss: 0.582642, acc.: 68.75%] [G loss: 0.881705]\n",
            "1511 [D loss: 0.700176, acc.: 56.25%] [G loss: 0.899723]\n",
            "1512 [D loss: 0.600116, acc.: 71.88%] [G loss: 0.829428]\n",
            "1513 [D loss: 0.600012, acc.: 71.88%] [G loss: 0.769009]\n",
            "1514 [D loss: 0.620659, acc.: 68.75%] [G loss: 0.813586]\n",
            "1515 [D loss: 0.577323, acc.: 68.75%] [G loss: 0.904549]\n",
            "1516 [D loss: 0.700756, acc.: 53.12%] [G loss: 0.945461]\n",
            "1517 [D loss: 0.605379, acc.: 64.06%] [G loss: 0.827999]\n",
            "1518 [D loss: 0.607930, acc.: 68.75%] [G loss: 0.894991]\n",
            "1519 [D loss: 0.595074, acc.: 71.88%] [G loss: 0.807033]\n",
            "1520 [D loss: 0.660728, acc.: 56.25%] [G loss: 0.847233]\n",
            "1521 [D loss: 0.633295, acc.: 62.50%] [G loss: 0.853737]\n",
            "1522 [D loss: 0.581034, acc.: 78.12%] [G loss: 0.963529]\n",
            "1523 [D loss: 0.700503, acc.: 56.25%] [G loss: 0.934416]\n",
            "1524 [D loss: 0.628536, acc.: 65.62%] [G loss: 0.955386]\n",
            "1525 [D loss: 0.634698, acc.: 67.19%] [G loss: 0.921339]\n",
            "1526 [D loss: 0.645413, acc.: 67.19%] [G loss: 0.907144]\n",
            "1527 [D loss: 0.664377, acc.: 57.81%] [G loss: 0.868038]\n",
            "1528 [D loss: 0.624943, acc.: 65.62%] [G loss: 0.838925]\n",
            "1529 [D loss: 0.610273, acc.: 62.50%] [G loss: 0.861995]\n",
            "1530 [D loss: 0.615677, acc.: 62.50%] [G loss: 0.869993]\n",
            "1531 [D loss: 0.628648, acc.: 64.06%] [G loss: 0.802576]\n",
            "1532 [D loss: 0.616427, acc.: 68.75%] [G loss: 0.873124]\n",
            "1533 [D loss: 0.716536, acc.: 59.38%] [G loss: 0.924271]\n",
            "1534 [D loss: 0.640088, acc.: 64.06%] [G loss: 0.831651]\n",
            "1535 [D loss: 0.615579, acc.: 64.06%] [G loss: 0.884186]\n",
            "1536 [D loss: 0.607096, acc.: 73.44%] [G loss: 0.932354]\n",
            "1537 [D loss: 0.640417, acc.: 65.62%] [G loss: 0.888167]\n",
            "1538 [D loss: 0.651213, acc.: 65.62%] [G loss: 0.870952]\n",
            "1539 [D loss: 0.636434, acc.: 60.94%] [G loss: 0.902443]\n",
            "1540 [D loss: 0.617055, acc.: 64.06%] [G loss: 0.932838]\n",
            "1541 [D loss: 0.602689, acc.: 67.19%] [G loss: 0.815028]\n",
            "1542 [D loss: 0.627318, acc.: 60.94%] [G loss: 0.884403]\n",
            "1543 [D loss: 0.632102, acc.: 60.94%] [G loss: 0.935044]\n",
            "1544 [D loss: 0.639645, acc.: 56.25%] [G loss: 0.877665]\n",
            "1545 [D loss: 0.653136, acc.: 67.19%] [G loss: 0.975849]\n",
            "1546 [D loss: 0.607099, acc.: 68.75%] [G loss: 0.949224]\n",
            "1547 [D loss: 0.574085, acc.: 75.00%] [G loss: 0.928613]\n",
            "1548 [D loss: 0.658791, acc.: 60.94%] [G loss: 0.847717]\n",
            "1549 [D loss: 0.626879, acc.: 62.50%] [G loss: 0.857904]\n",
            "1550 [D loss: 0.625287, acc.: 62.50%] [G loss: 0.832312]\n",
            "1551 [D loss: 0.681080, acc.: 60.94%] [G loss: 0.798609]\n",
            "1552 [D loss: 0.652569, acc.: 64.06%] [G loss: 0.879049]\n",
            "1553 [D loss: 0.635632, acc.: 64.06%] [G loss: 0.867446]\n",
            "1554 [D loss: 0.648859, acc.: 64.06%] [G loss: 0.953017]\n",
            "1555 [D loss: 0.604968, acc.: 65.62%] [G loss: 0.900953]\n",
            "1556 [D loss: 0.629249, acc.: 71.88%] [G loss: 0.932075]\n",
            "1557 [D loss: 0.634831, acc.: 59.38%] [G loss: 0.916592]\n",
            "1558 [D loss: 0.637182, acc.: 64.06%] [G loss: 0.882295]\n",
            "1559 [D loss: 0.617917, acc.: 65.62%] [G loss: 0.843309]\n",
            "1560 [D loss: 0.699271, acc.: 50.00%] [G loss: 0.835886]\n",
            "1561 [D loss: 0.646033, acc.: 62.50%] [G loss: 0.826560]\n",
            "1562 [D loss: 0.617946, acc.: 59.38%] [G loss: 0.794449]\n",
            "1563 [D loss: 0.667043, acc.: 60.94%] [G loss: 0.865380]\n",
            "1564 [D loss: 0.644998, acc.: 64.06%] [G loss: 0.904575]\n",
            "1565 [D loss: 0.583108, acc.: 65.62%] [G loss: 0.862990]\n",
            "1566 [D loss: 0.621745, acc.: 59.38%] [G loss: 0.924929]\n",
            "1567 [D loss: 0.638393, acc.: 56.25%] [G loss: 0.915116]\n",
            "1568 [D loss: 0.587894, acc.: 67.19%] [G loss: 0.943371]\n",
            "1569 [D loss: 0.664837, acc.: 60.94%] [G loss: 0.879655]\n",
            "1570 [D loss: 0.718297, acc.: 50.00%] [G loss: 0.889192]\n",
            "1571 [D loss: 0.635537, acc.: 68.75%] [G loss: 0.822684]\n",
            "1572 [D loss: 0.617031, acc.: 65.62%] [G loss: 0.942433]\n",
            "1573 [D loss: 0.598204, acc.: 67.19%] [G loss: 0.913400]\n",
            "1574 [D loss: 0.615525, acc.: 70.31%] [G loss: 0.876128]\n",
            "1575 [D loss: 0.611037, acc.: 68.75%] [G loss: 0.965482]\n",
            "1576 [D loss: 0.615234, acc.: 62.50%] [G loss: 0.870550]\n",
            "1577 [D loss: 0.628920, acc.: 62.50%] [G loss: 0.868161]\n",
            "1578 [D loss: 0.624470, acc.: 62.50%] [G loss: 0.904004]\n",
            "1579 [D loss: 0.597561, acc.: 71.88%] [G loss: 0.950833]\n",
            "1580 [D loss: 0.593270, acc.: 73.44%] [G loss: 0.921654]\n",
            "1581 [D loss: 0.638300, acc.: 71.88%] [G loss: 0.869447]\n",
            "1582 [D loss: 0.669079, acc.: 67.19%] [G loss: 0.899380]\n",
            "1583 [D loss: 0.665642, acc.: 53.12%] [G loss: 0.838964]\n",
            "1584 [D loss: 0.619915, acc.: 64.06%] [G loss: 0.858284]\n",
            "1585 [D loss: 0.659280, acc.: 57.81%] [G loss: 0.788446]\n",
            "1586 [D loss: 0.614588, acc.: 65.62%] [G loss: 0.767374]\n",
            "1587 [D loss: 0.621555, acc.: 64.06%] [G loss: 0.921756]\n",
            "1588 [D loss: 0.549112, acc.: 67.19%] [G loss: 0.839329]\n",
            "1589 [D loss: 0.606449, acc.: 68.75%] [G loss: 1.050124]\n",
            "1590 [D loss: 0.709799, acc.: 60.94%] [G loss: 0.892089]\n",
            "1591 [D loss: 0.673787, acc.: 59.38%] [G loss: 0.906510]\n",
            "1592 [D loss: 0.648479, acc.: 62.50%] [G loss: 0.957779]\n",
            "1593 [D loss: 0.649911, acc.: 57.81%] [G loss: 0.867178]\n",
            "1594 [D loss: 0.621752, acc.: 67.19%] [G loss: 0.861846]\n",
            "1595 [D loss: 0.623475, acc.: 60.94%] [G loss: 0.869638]\n",
            "1596 [D loss: 0.635001, acc.: 60.94%] [G loss: 0.870870]\n",
            "1597 [D loss: 0.553883, acc.: 71.88%] [G loss: 0.955517]\n",
            "1598 [D loss: 0.631501, acc.: 65.62%] [G loss: 0.945212]\n",
            "1599 [D loss: 0.623786, acc.: 65.62%] [G loss: 0.852518]\n",
            "1600 [D loss: 0.561733, acc.: 70.31%] [G loss: 0.897871]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOyFEEvwPxpPBBCL8ReYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1601 [D loss: 0.608867, acc.: 60.94%] [G loss: 0.936448]\n",
            "1602 [D loss: 0.641300, acc.: 62.50%] [G loss: 0.914129]\n",
            "1603 [D loss: 0.711835, acc.: 51.56%] [G loss: 0.942854]\n",
            "1604 [D loss: 0.613401, acc.: 70.31%] [G loss: 0.877510]\n",
            "1605 [D loss: 0.658937, acc.: 57.81%] [G loss: 0.821684]\n",
            "1606 [D loss: 0.619801, acc.: 67.19%] [G loss: 0.885222]\n",
            "1607 [D loss: 0.609099, acc.: 68.75%] [G loss: 0.844994]\n",
            "1608 [D loss: 0.650289, acc.: 64.06%] [G loss: 0.863134]\n",
            "1609 [D loss: 0.637061, acc.: 64.06%] [G loss: 0.864417]\n",
            "1610 [D loss: 0.643175, acc.: 62.50%] [G loss: 0.913040]\n",
            "1611 [D loss: 0.600478, acc.: 65.62%] [G loss: 0.869162]\n",
            "1612 [D loss: 0.592376, acc.: 75.00%] [G loss: 0.962737]\n",
            "1613 [D loss: 0.627800, acc.: 60.94%] [G loss: 0.801050]\n",
            "1614 [D loss: 0.638200, acc.: 65.62%] [G loss: 0.854543]\n",
            "1615 [D loss: 0.636335, acc.: 68.75%] [G loss: 0.906451]\n",
            "1616 [D loss: 0.601054, acc.: 68.75%] [G loss: 0.901699]\n",
            "1617 [D loss: 0.587912, acc.: 71.88%] [G loss: 0.906870]\n",
            "1618 [D loss: 0.682703, acc.: 54.69%] [G loss: 0.897379]\n",
            "1619 [D loss: 0.606587, acc.: 62.50%] [G loss: 0.871929]\n",
            "1620 [D loss: 0.616990, acc.: 64.06%] [G loss: 0.816380]\n",
            "1621 [D loss: 0.665283, acc.: 53.12%] [G loss: 0.896602]\n",
            "1622 [D loss: 0.676904, acc.: 60.94%] [G loss: 0.893256]\n",
            "1623 [D loss: 0.646504, acc.: 62.50%] [G loss: 0.873469]\n",
            "1624 [D loss: 0.615627, acc.: 59.38%] [G loss: 0.900510]\n",
            "1625 [D loss: 0.620847, acc.: 65.62%] [G loss: 0.973683]\n",
            "1626 [D loss: 0.607623, acc.: 64.06%] [G loss: 0.943445]\n",
            "1627 [D loss: 0.610896, acc.: 65.62%] [G loss: 0.945031]\n",
            "1628 [D loss: 0.602261, acc.: 67.19%] [G loss: 0.927453]\n",
            "1629 [D loss: 0.601806, acc.: 65.62%] [G loss: 0.905491]\n",
            "1630 [D loss: 0.606706, acc.: 68.75%] [G loss: 0.915793]\n",
            "1631 [D loss: 0.626939, acc.: 62.50%] [G loss: 0.824905]\n",
            "1632 [D loss: 0.629981, acc.: 60.94%] [G loss: 0.874157]\n",
            "1633 [D loss: 0.595398, acc.: 70.31%] [G loss: 0.831522]\n",
            "1634 [D loss: 0.699704, acc.: 60.94%] [G loss: 0.906645]\n",
            "1635 [D loss: 0.640753, acc.: 59.38%] [G loss: 0.970127]\n",
            "1636 [D loss: 0.689529, acc.: 56.25%] [G loss: 0.856560]\n",
            "1637 [D loss: 0.621698, acc.: 67.19%] [G loss: 0.849330]\n",
            "1638 [D loss: 0.590320, acc.: 68.75%] [G loss: 0.894278]\n",
            "1639 [D loss: 0.635918, acc.: 60.94%] [G loss: 0.841380]\n",
            "1640 [D loss: 0.632783, acc.: 68.75%] [G loss: 0.834734]\n",
            "1641 [D loss: 0.641209, acc.: 60.94%] [G loss: 0.928322]\n",
            "1642 [D loss: 0.594167, acc.: 62.50%] [G loss: 0.942547]\n",
            "1643 [D loss: 0.623649, acc.: 68.75%] [G loss: 1.003415]\n",
            "1644 [D loss: 0.626922, acc.: 65.62%] [G loss: 0.942426]\n",
            "1645 [D loss: 0.641195, acc.: 62.50%] [G loss: 0.917071]\n",
            "1646 [D loss: 0.639270, acc.: 64.06%] [G loss: 0.892527]\n",
            "1647 [D loss: 0.720255, acc.: 53.12%] [G loss: 0.937041]\n",
            "1648 [D loss: 0.585458, acc.: 65.62%] [G loss: 0.930922]\n",
            "1649 [D loss: 0.637134, acc.: 64.06%] [G loss: 0.921970]\n",
            "1650 [D loss: 0.628967, acc.: 59.38%] [G loss: 0.885535]\n",
            "1651 [D loss: 0.680659, acc.: 60.94%] [G loss: 0.904679]\n",
            "1652 [D loss: 0.582109, acc.: 75.00%] [G loss: 0.860688]\n",
            "1653 [D loss: 0.596920, acc.: 73.44%] [G loss: 0.874633]\n",
            "1654 [D loss: 0.686103, acc.: 53.12%] [G loss: 0.882653]\n",
            "1655 [D loss: 0.642291, acc.: 59.38%] [G loss: 0.885048]\n",
            "1656 [D loss: 0.682060, acc.: 51.56%] [G loss: 0.883768]\n",
            "1657 [D loss: 0.621735, acc.: 60.94%] [G loss: 0.841498]\n",
            "1658 [D loss: 0.626851, acc.: 67.19%] [G loss: 0.895812]\n",
            "1659 [D loss: 0.652017, acc.: 57.81%] [G loss: 0.809142]\n",
            "1660 [D loss: 0.622544, acc.: 65.62%] [G loss: 0.917362]\n",
            "1661 [D loss: 0.573732, acc.: 68.75%] [G loss: 0.988530]\n",
            "1662 [D loss: 0.647354, acc.: 60.94%] [G loss: 0.880418]\n",
            "1663 [D loss: 0.570843, acc.: 71.88%] [G loss: 0.962924]\n",
            "1664 [D loss: 0.635649, acc.: 62.50%] [G loss: 0.817904]\n",
            "1665 [D loss: 0.619131, acc.: 65.62%] [G loss: 0.857184]\n",
            "1666 [D loss: 0.668951, acc.: 59.38%] [G loss: 0.939538]\n",
            "1667 [D loss: 0.627986, acc.: 67.19%] [G loss: 0.853872]\n",
            "1668 [D loss: 0.619519, acc.: 67.19%] [G loss: 0.856280]\n",
            "1669 [D loss: 0.597722, acc.: 65.62%] [G loss: 0.904474]\n",
            "1670 [D loss: 0.653212, acc.: 60.94%] [G loss: 0.919631]\n",
            "1671 [D loss: 0.618737, acc.: 70.31%] [G loss: 0.929814]\n",
            "1672 [D loss: 0.629012, acc.: 56.25%] [G loss: 0.835605]\n",
            "1673 [D loss: 0.604023, acc.: 67.19%] [G loss: 0.835197]\n",
            "1674 [D loss: 0.636586, acc.: 57.81%] [G loss: 0.841767]\n",
            "1675 [D loss: 0.661439, acc.: 59.38%] [G loss: 0.902642]\n",
            "1676 [D loss: 0.675159, acc.: 62.50%] [G loss: 0.825882]\n",
            "1677 [D loss: 0.594409, acc.: 73.44%] [G loss: 0.901589]\n",
            "1678 [D loss: 0.590717, acc.: 71.88%] [G loss: 0.868159]\n",
            "1679 [D loss: 0.608199, acc.: 76.56%] [G loss: 0.926695]\n",
            "1680 [D loss: 0.687566, acc.: 50.00%] [G loss: 0.845346]\n",
            "1681 [D loss: 0.646816, acc.: 65.62%] [G loss: 0.890833]\n",
            "1682 [D loss: 0.628554, acc.: 62.50%] [G loss: 0.988317]\n",
            "1683 [D loss: 0.663501, acc.: 57.81%] [G loss: 1.027333]\n",
            "1684 [D loss: 0.630779, acc.: 65.62%] [G loss: 0.935280]\n",
            "1685 [D loss: 0.657569, acc.: 57.81%] [G loss: 0.883239]\n",
            "1686 [D loss: 0.616529, acc.: 70.31%] [G loss: 0.858385]\n",
            "1687 [D loss: 0.672790, acc.: 53.12%] [G loss: 0.910713]\n",
            "1688 [D loss: 0.663602, acc.: 59.38%] [G loss: 0.884995]\n",
            "1689 [D loss: 0.604032, acc.: 70.31%] [G loss: 0.868455]\n",
            "1690 [D loss: 0.671803, acc.: 57.81%] [G loss: 0.890408]\n",
            "1691 [D loss: 0.603898, acc.: 60.94%] [G loss: 0.861650]\n",
            "1692 [D loss: 0.703673, acc.: 54.69%] [G loss: 0.860087]\n",
            "1693 [D loss: 0.612653, acc.: 65.62%] [G loss: 0.933590]\n",
            "1694 [D loss: 0.646668, acc.: 59.38%] [G loss: 0.908655]\n",
            "1695 [D loss: 0.640657, acc.: 67.19%] [G loss: 0.939505]\n",
            "1696 [D loss: 0.642139, acc.: 60.94%] [G loss: 0.970255]\n",
            "1697 [D loss: 0.719388, acc.: 45.31%] [G loss: 0.883410]\n",
            "1698 [D loss: 0.601605, acc.: 65.62%] [G loss: 0.839217]\n",
            "1699 [D loss: 0.595222, acc.: 73.44%] [G loss: 0.898570]\n",
            "1700 [D loss: 0.608481, acc.: 60.94%] [G loss: 0.843622]\n",
            "1701 [D loss: 0.697427, acc.: 54.69%] [G loss: 0.889654]\n",
            "1702 [D loss: 0.647112, acc.: 62.50%] [G loss: 0.928104]\n",
            "1703 [D loss: 0.693809, acc.: 54.69%] [G loss: 0.805625]\n",
            "1704 [D loss: 0.661889, acc.: 57.81%] [G loss: 0.812032]\n",
            "1705 [D loss: 0.604183, acc.: 65.62%] [G loss: 0.841299]\n",
            "1706 [D loss: 0.570436, acc.: 67.19%] [G loss: 0.920168]\n",
            "1707 [D loss: 0.645693, acc.: 56.25%] [G loss: 0.815842]\n",
            "1708 [D loss: 0.592613, acc.: 71.88%] [G loss: 0.928602]\n",
            "1709 [D loss: 0.655362, acc.: 62.50%] [G loss: 0.944111]\n",
            "1710 [D loss: 0.625565, acc.: 64.06%] [G loss: 0.800808]\n",
            "1711 [D loss: 0.633875, acc.: 60.94%] [G loss: 0.830873]\n",
            "1712 [D loss: 0.652038, acc.: 62.50%] [G loss: 0.877202]\n",
            "1713 [D loss: 0.612061, acc.: 62.50%] [G loss: 0.851919]\n",
            "1714 [D loss: 0.624765, acc.: 68.75%] [G loss: 0.882604]\n",
            "1715 [D loss: 0.575612, acc.: 73.44%] [G loss: 0.917667]\n",
            "1716 [D loss: 0.651718, acc.: 62.50%] [G loss: 0.817293]\n",
            "1717 [D loss: 0.623424, acc.: 67.19%] [G loss: 0.890394]\n",
            "1718 [D loss: 0.577182, acc.: 73.44%] [G loss: 0.874063]\n",
            "1719 [D loss: 0.655552, acc.: 68.75%] [G loss: 0.985395]\n",
            "1720 [D loss: 0.581191, acc.: 71.88%] [G loss: 0.958928]\n",
            "1721 [D loss: 0.598373, acc.: 68.75%] [G loss: 0.898533]\n",
            "1722 [D loss: 0.640146, acc.: 60.94%] [G loss: 0.851965]\n",
            "1723 [D loss: 0.599249, acc.: 59.38%] [G loss: 0.877635]\n",
            "1724 [D loss: 0.575969, acc.: 70.31%] [G loss: 0.945830]\n",
            "1725 [D loss: 0.623414, acc.: 62.50%] [G loss: 0.958562]\n",
            "1726 [D loss: 0.614082, acc.: 70.31%] [G loss: 0.996002]\n",
            "1727 [D loss: 0.718837, acc.: 50.00%] [G loss: 0.824724]\n",
            "1728 [D loss: 0.641491, acc.: 56.25%] [G loss: 0.841632]\n",
            "1729 [D loss: 0.594024, acc.: 65.62%] [G loss: 0.898887]\n",
            "1730 [D loss: 0.637493, acc.: 60.94%] [G loss: 0.879081]\n",
            "1731 [D loss: 0.546618, acc.: 76.56%] [G loss: 0.892277]\n",
            "1732 [D loss: 0.647829, acc.: 59.38%] [G loss: 0.820183]\n",
            "1733 [D loss: 0.620579, acc.: 64.06%] [G loss: 0.941398]\n",
            "1734 [D loss: 0.677237, acc.: 56.25%] [G loss: 0.826249]\n",
            "1735 [D loss: 0.626235, acc.: 68.75%] [G loss: 0.801171]\n",
            "1736 [D loss: 0.581868, acc.: 68.75%] [G loss: 0.772746]\n",
            "1737 [D loss: 0.674538, acc.: 60.94%] [G loss: 0.827782]\n",
            "1738 [D loss: 0.642397, acc.: 60.94%] [G loss: 0.937139]\n",
            "1739 [D loss: 0.692421, acc.: 54.69%] [G loss: 0.945545]\n",
            "1740 [D loss: 0.639542, acc.: 60.94%] [G loss: 0.868067]\n",
            "1741 [D loss: 0.649317, acc.: 56.25%] [G loss: 0.764288]\n",
            "1742 [D loss: 0.638526, acc.: 60.94%] [G loss: 0.875416]\n",
            "1743 [D loss: 0.652815, acc.: 59.38%] [G loss: 0.972825]\n",
            "1744 [D loss: 0.645122, acc.: 62.50%] [G loss: 0.796822]\n",
            "1745 [D loss: 0.686014, acc.: 46.88%] [G loss: 0.971769]\n",
            "1746 [D loss: 0.570858, acc.: 75.00%] [G loss: 0.919513]\n",
            "1747 [D loss: 0.617792, acc.: 73.44%] [G loss: 0.963048]\n",
            "1748 [D loss: 0.637962, acc.: 57.81%] [G loss: 1.009300]\n",
            "1749 [D loss: 0.617742, acc.: 64.06%] [G loss: 0.914702]\n",
            "1750 [D loss: 0.681535, acc.: 62.50%] [G loss: 0.883777]\n",
            "1751 [D loss: 0.608812, acc.: 65.62%] [G loss: 0.894190]\n",
            "1752 [D loss: 0.616639, acc.: 64.06%] [G loss: 0.864756]\n",
            "1753 [D loss: 0.638474, acc.: 67.19%] [G loss: 0.935923]\n",
            "1754 [D loss: 0.608819, acc.: 64.06%] [G loss: 0.934733]\n",
            "1755 [D loss: 0.614228, acc.: 68.75%] [G loss: 0.958010]\n",
            "1756 [D loss: 0.646796, acc.: 64.06%] [G loss: 0.945881]\n",
            "1757 [D loss: 0.565456, acc.: 71.88%] [G loss: 0.930974]\n",
            "1758 [D loss: 0.725820, acc.: 50.00%] [G loss: 0.869881]\n",
            "1759 [D loss: 0.655489, acc.: 54.69%] [G loss: 0.796319]\n",
            "1760 [D loss: 0.695178, acc.: 54.69%] [G loss: 0.871243]\n",
            "1761 [D loss: 0.603253, acc.: 71.88%] [G loss: 0.887726]\n",
            "1762 [D loss: 0.607869, acc.: 67.19%] [G loss: 0.856002]\n",
            "1763 [D loss: 0.712789, acc.: 42.19%] [G loss: 0.941280]\n",
            "1764 [D loss: 0.600193, acc.: 67.19%] [G loss: 0.836506]\n",
            "1765 [D loss: 0.657259, acc.: 62.50%] [G loss: 0.872350]\n",
            "1766 [D loss: 0.622710, acc.: 64.06%] [G loss: 0.879796]\n",
            "1767 [D loss: 0.585453, acc.: 65.62%] [G loss: 1.003915]\n",
            "1768 [D loss: 0.646197, acc.: 67.19%] [G loss: 0.907655]\n",
            "1769 [D loss: 0.660691, acc.: 60.94%] [G loss: 0.904335]\n",
            "1770 [D loss: 0.689980, acc.: 56.25%] [G loss: 0.981943]\n",
            "1771 [D loss: 0.651675, acc.: 68.75%] [G loss: 0.954034]\n",
            "1772 [D loss: 0.590006, acc.: 70.31%] [G loss: 1.011787]\n",
            "1773 [D loss: 0.711895, acc.: 57.81%] [G loss: 0.893100]\n",
            "1774 [D loss: 0.632305, acc.: 67.19%] [G loss: 0.847419]\n",
            "1775 [D loss: 0.614486, acc.: 60.94%] [G loss: 0.854044]\n",
            "1776 [D loss: 0.574689, acc.: 71.88%] [G loss: 0.832322]\n",
            "1777 [D loss: 0.554098, acc.: 71.88%] [G loss: 0.937633]\n",
            "1778 [D loss: 0.626033, acc.: 64.06%] [G loss: 0.962775]\n",
            "1779 [D loss: 0.662119, acc.: 53.12%] [G loss: 0.810362]\n",
            "1780 [D loss: 0.655756, acc.: 53.12%] [G loss: 0.882368]\n",
            "1781 [D loss: 0.593195, acc.: 68.75%] [G loss: 0.907427]\n",
            "1782 [D loss: 0.625562, acc.: 68.75%] [G loss: 0.911510]\n",
            "1783 [D loss: 0.620276, acc.: 62.50%] [G loss: 0.934485]\n",
            "1784 [D loss: 0.672205, acc.: 62.50%] [G loss: 0.799443]\n",
            "1785 [D loss: 0.659158, acc.: 56.25%] [G loss: 0.895616]\n",
            "1786 [D loss: 0.633284, acc.: 64.06%] [G loss: 0.926613]\n",
            "1787 [D loss: 0.631342, acc.: 64.06%] [G loss: 0.922013]\n",
            "1788 [D loss: 0.570615, acc.: 70.31%] [G loss: 0.876802]\n",
            "1789 [D loss: 0.642718, acc.: 62.50%] [G loss: 0.747065]\n",
            "1790 [D loss: 0.651945, acc.: 59.38%] [G loss: 0.894626]\n",
            "1791 [D loss: 0.622244, acc.: 57.81%] [G loss: 0.817326]\n",
            "1792 [D loss: 0.617408, acc.: 59.38%] [G loss: 0.885383]\n",
            "1793 [D loss: 0.619980, acc.: 65.62%] [G loss: 0.895734]\n",
            "1794 [D loss: 0.678030, acc.: 64.06%] [G loss: 0.826443]\n",
            "1795 [D loss: 0.621300, acc.: 70.31%] [G loss: 0.890374]\n",
            "1796 [D loss: 0.670798, acc.: 53.12%] [G loss: 0.922169]\n",
            "1797 [D loss: 0.667606, acc.: 59.38%] [G loss: 0.836010]\n",
            "1798 [D loss: 0.633947, acc.: 67.19%] [G loss: 0.905618]\n",
            "1799 [D loss: 0.597932, acc.: 64.06%] [G loss: 0.958938]\n",
            "1800 [D loss: 0.656342, acc.: 60.94%] [G loss: 0.957532]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIUQW/A++qdfWaIVX5gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "1801 [D loss: 0.619828, acc.: 62.50%] [G loss: 0.957880]\n",
            "1802 [D loss: 0.637112, acc.: 60.94%] [G loss: 0.981684]\n",
            "1803 [D loss: 0.610171, acc.: 73.44%] [G loss: 0.871768]\n",
            "1804 [D loss: 0.585819, acc.: 68.75%] [G loss: 0.930243]\n",
            "1805 [D loss: 0.657209, acc.: 59.38%] [G loss: 0.883208]\n",
            "1806 [D loss: 0.617745, acc.: 67.19%] [G loss: 0.868738]\n",
            "1807 [D loss: 0.643247, acc.: 60.94%] [G loss: 0.960455]\n",
            "1808 [D loss: 0.634442, acc.: 65.62%] [G loss: 0.888465]\n",
            "1809 [D loss: 0.660613, acc.: 56.25%] [G loss: 0.857246]\n",
            "1810 [D loss: 0.688394, acc.: 48.44%] [G loss: 0.836666]\n",
            "1811 [D loss: 0.618354, acc.: 60.94%] [G loss: 0.900628]\n",
            "1812 [D loss: 0.598067, acc.: 68.75%] [G loss: 0.816306]\n",
            "1813 [D loss: 0.617624, acc.: 65.62%] [G loss: 0.911881]\n",
            "1814 [D loss: 0.682165, acc.: 59.38%] [G loss: 0.889509]\n",
            "1815 [D loss: 0.566630, acc.: 75.00%] [G loss: 0.954091]\n",
            "1816 [D loss: 0.708627, acc.: 51.56%] [G loss: 0.825791]\n",
            "1817 [D loss: 0.629857, acc.: 70.31%] [G loss: 0.943075]\n",
            "1818 [D loss: 0.608411, acc.: 67.19%] [G loss: 0.902204]\n",
            "1819 [D loss: 0.678020, acc.: 60.94%] [G loss: 0.841982]\n",
            "1820 [D loss: 0.614053, acc.: 65.62%] [G loss: 0.875315]\n",
            "1821 [D loss: 0.635977, acc.: 60.94%] [G loss: 0.862489]\n",
            "1822 [D loss: 0.582796, acc.: 65.62%] [G loss: 0.831571]\n",
            "1823 [D loss: 0.689801, acc.: 57.81%] [G loss: 0.856143]\n",
            "1824 [D loss: 0.669743, acc.: 56.25%] [G loss: 1.019865]\n",
            "1825 [D loss: 0.658701, acc.: 59.38%] [G loss: 0.922975]\n",
            "1826 [D loss: 0.679068, acc.: 59.38%] [G loss: 0.868452]\n",
            "1827 [D loss: 0.670894, acc.: 59.38%] [G loss: 0.888504]\n",
            "1828 [D loss: 0.632625, acc.: 65.62%] [G loss: 0.968290]\n",
            "1829 [D loss: 0.610054, acc.: 68.75%] [G loss: 0.869228]\n",
            "1830 [D loss: 0.623604, acc.: 70.31%] [G loss: 0.922650]\n",
            "1831 [D loss: 0.652208, acc.: 57.81%] [G loss: 0.946501]\n",
            "1832 [D loss: 0.664873, acc.: 57.81%] [G loss: 0.951170]\n",
            "1833 [D loss: 0.634609, acc.: 57.81%] [G loss: 0.851644]\n",
            "1834 [D loss: 0.607569, acc.: 67.19%] [G loss: 0.932984]\n",
            "1835 [D loss: 0.665473, acc.: 57.81%] [G loss: 0.918703]\n",
            "1836 [D loss: 0.614505, acc.: 67.19%] [G loss: 0.863860]\n",
            "1837 [D loss: 0.570570, acc.: 71.88%] [G loss: 1.001352]\n",
            "1838 [D loss: 0.667472, acc.: 59.38%] [G loss: 0.874388]\n",
            "1839 [D loss: 0.575518, acc.: 67.19%] [G loss: 0.973938]\n",
            "1840 [D loss: 0.624465, acc.: 60.94%] [G loss: 0.947603]\n",
            "1841 [D loss: 0.591724, acc.: 64.06%] [G loss: 1.033239]\n",
            "1842 [D loss: 0.704139, acc.: 46.88%] [G loss: 0.931778]\n",
            "1843 [D loss: 0.668747, acc.: 54.69%] [G loss: 0.846237]\n",
            "1844 [D loss: 0.638092, acc.: 57.81%] [G loss: 0.942251]\n",
            "1845 [D loss: 0.636991, acc.: 57.81%] [G loss: 0.945755]\n",
            "1846 [D loss: 0.568355, acc.: 67.19%] [G loss: 0.929644]\n",
            "1847 [D loss: 0.564590, acc.: 65.62%] [G loss: 0.962570]\n",
            "1848 [D loss: 0.633008, acc.: 65.62%] [G loss: 0.874795]\n",
            "1849 [D loss: 0.612993, acc.: 65.62%] [G loss: 0.834015]\n",
            "1850 [D loss: 0.701302, acc.: 56.25%] [G loss: 0.930605]\n",
            "1851 [D loss: 0.583070, acc.: 64.06%] [G loss: 0.972242]\n",
            "1852 [D loss: 0.658148, acc.: 60.94%] [G loss: 0.904615]\n",
            "1853 [D loss: 0.620297, acc.: 67.19%] [G loss: 0.896889]\n",
            "1854 [D loss: 0.593105, acc.: 73.44%] [G loss: 0.933197]\n",
            "1855 [D loss: 0.687333, acc.: 57.81%] [G loss: 0.860328]\n",
            "1856 [D loss: 0.675648, acc.: 57.81%] [G loss: 0.877777]\n",
            "1857 [D loss: 0.675866, acc.: 62.50%] [G loss: 0.897603]\n",
            "1858 [D loss: 0.604510, acc.: 64.06%] [G loss: 0.947825]\n",
            "1859 [D loss: 0.644479, acc.: 60.94%] [G loss: 0.894450]\n",
            "1860 [D loss: 0.561764, acc.: 76.56%] [G loss: 0.934054]\n",
            "1861 [D loss: 0.666941, acc.: 64.06%] [G loss: 0.960306]\n",
            "1862 [D loss: 0.612263, acc.: 67.19%] [G loss: 0.839720]\n",
            "1863 [D loss: 0.606123, acc.: 68.75%] [G loss: 0.891641]\n",
            "1864 [D loss: 0.675167, acc.: 56.25%] [G loss: 1.010218]\n",
            "1865 [D loss: 0.605461, acc.: 64.06%] [G loss: 0.944565]\n",
            "1866 [D loss: 0.661621, acc.: 64.06%] [G loss: 0.853488]\n",
            "1867 [D loss: 0.645511, acc.: 65.62%] [G loss: 0.850590]\n",
            "1868 [D loss: 0.658193, acc.: 54.69%] [G loss: 0.894955]\n",
            "1869 [D loss: 0.607334, acc.: 62.50%] [G loss: 0.955917]\n",
            "1870 [D loss: 0.589359, acc.: 65.62%] [G loss: 0.839941]\n",
            "1871 [D loss: 0.699686, acc.: 54.69%] [G loss: 0.849246]\n",
            "1872 [D loss: 0.660841, acc.: 60.94%] [G loss: 0.857851]\n",
            "1873 [D loss: 0.611491, acc.: 64.06%] [G loss: 0.871738]\n",
            "1874 [D loss: 0.591510, acc.: 70.31%] [G loss: 0.837377]\n",
            "1875 [D loss: 0.524898, acc.: 76.56%] [G loss: 1.004809]\n",
            "1876 [D loss: 0.622927, acc.: 67.19%] [G loss: 0.943960]\n",
            "1877 [D loss: 0.635702, acc.: 62.50%] [G loss: 0.935816]\n",
            "1878 [D loss: 0.624691, acc.: 65.62%] [G loss: 0.988963]\n",
            "1879 [D loss: 0.596469, acc.: 68.75%] [G loss: 0.985754]\n",
            "1880 [D loss: 0.568611, acc.: 70.31%] [G loss: 1.022109]\n",
            "1881 [D loss: 0.610802, acc.: 65.62%] [G loss: 0.914573]\n",
            "1882 [D loss: 0.765584, acc.: 46.88%] [G loss: 0.869158]\n",
            "1883 [D loss: 0.611881, acc.: 67.19%] [G loss: 0.908126]\n",
            "1884 [D loss: 0.673635, acc.: 50.00%] [G loss: 0.911049]\n",
            "1885 [D loss: 0.668566, acc.: 56.25%] [G loss: 0.912089]\n",
            "1886 [D loss: 0.628016, acc.: 54.69%] [G loss: 0.943249]\n",
            "1887 [D loss: 0.610239, acc.: 71.88%] [G loss: 0.974354]\n",
            "1888 [D loss: 0.650084, acc.: 57.81%] [G loss: 0.947516]\n",
            "1889 [D loss: 0.628654, acc.: 62.50%] [G loss: 0.853070]\n",
            "1890 [D loss: 0.610336, acc.: 70.31%] [G loss: 0.877076]\n",
            "1891 [D loss: 0.667597, acc.: 56.25%] [G loss: 0.931962]\n",
            "1892 [D loss: 0.669798, acc.: 57.81%] [G loss: 0.919566]\n",
            "1893 [D loss: 0.650337, acc.: 60.94%] [G loss: 0.859890]\n",
            "1894 [D loss: 0.619906, acc.: 62.50%] [G loss: 0.974460]\n",
            "1895 [D loss: 0.649892, acc.: 56.25%] [G loss: 0.912751]\n",
            "1896 [D loss: 0.615180, acc.: 62.50%] [G loss: 0.933471]\n",
            "1897 [D loss: 0.629008, acc.: 64.06%] [G loss: 0.875718]\n",
            "1898 [D loss: 0.609184, acc.: 67.19%] [G loss: 0.918034]\n",
            "1899 [D loss: 0.594961, acc.: 65.62%] [G loss: 0.888572]\n",
            "1900 [D loss: 0.637618, acc.: 64.06%] [G loss: 0.915804]\n",
            "1901 [D loss: 0.641845, acc.: 65.62%] [G loss: 0.934681]\n",
            "1902 [D loss: 0.628548, acc.: 67.19%] [G loss: 0.976295]\n",
            "1903 [D loss: 0.700780, acc.: 50.00%] [G loss: 0.934924]\n",
            "1904 [D loss: 0.687576, acc.: 51.56%] [G loss: 0.887822]\n",
            "1905 [D loss: 0.676783, acc.: 56.25%] [G loss: 0.906111]\n",
            "1906 [D loss: 0.604692, acc.: 67.19%] [G loss: 0.876177]\n",
            "1907 [D loss: 0.636808, acc.: 59.38%] [G loss: 0.914823]\n",
            "1908 [D loss: 0.622160, acc.: 59.38%] [G loss: 0.955596]\n",
            "1909 [D loss: 0.671257, acc.: 64.06%] [G loss: 0.908537]\n",
            "1910 [D loss: 0.622708, acc.: 56.25%] [G loss: 0.943823]\n",
            "1911 [D loss: 0.606708, acc.: 68.75%] [G loss: 0.926225]\n",
            "1912 [D loss: 0.615589, acc.: 64.06%] [G loss: 1.000606]\n",
            "1913 [D loss: 0.596985, acc.: 71.88%] [G loss: 0.894663]\n",
            "1914 [D loss: 0.653131, acc.: 59.38%] [G loss: 0.861822]\n",
            "1915 [D loss: 0.643802, acc.: 60.94%] [G loss: 0.861272]\n",
            "1916 [D loss: 0.679823, acc.: 54.69%] [G loss: 0.919746]\n",
            "1917 [D loss: 0.654967, acc.: 56.25%] [G loss: 0.886488]\n",
            "1918 [D loss: 0.617230, acc.: 75.00%] [G loss: 0.905371]\n",
            "1919 [D loss: 0.614962, acc.: 62.50%] [G loss: 1.041011]\n",
            "1920 [D loss: 0.595928, acc.: 70.31%] [G loss: 0.945363]\n",
            "1921 [D loss: 0.568341, acc.: 76.56%] [G loss: 0.960099]\n",
            "1922 [D loss: 0.621894, acc.: 68.75%] [G loss: 0.875801]\n",
            "1923 [D loss: 0.622676, acc.: 64.06%] [G loss: 0.865741]\n",
            "1924 [D loss: 0.592821, acc.: 71.88%] [G loss: 0.908046]\n",
            "1925 [D loss: 0.611512, acc.: 67.19%] [G loss: 0.827909]\n",
            "1926 [D loss: 0.555457, acc.: 71.88%] [G loss: 0.954223]\n",
            "1927 [D loss: 0.620316, acc.: 65.62%] [G loss: 0.896070]\n",
            "1928 [D loss: 0.588783, acc.: 68.75%] [G loss: 0.918943]\n",
            "1929 [D loss: 0.687210, acc.: 56.25%] [G loss: 0.979216]\n",
            "1930 [D loss: 0.613563, acc.: 64.06%] [G loss: 0.882143]\n",
            "1931 [D loss: 0.666123, acc.: 53.12%] [G loss: 0.867427]\n",
            "1932 [D loss: 0.650890, acc.: 59.38%] [G loss: 0.915015]\n",
            "1933 [D loss: 0.580542, acc.: 70.31%] [G loss: 0.912303]\n",
            "1934 [D loss: 0.631995, acc.: 59.38%] [G loss: 0.968203]\n",
            "1935 [D loss: 0.632167, acc.: 60.94%] [G loss: 0.999004]\n",
            "1936 [D loss: 0.592850, acc.: 64.06%] [G loss: 0.929403]\n",
            "1937 [D loss: 0.647548, acc.: 64.06%] [G loss: 0.971257]\n",
            "1938 [D loss: 0.685963, acc.: 59.38%] [G loss: 0.889936]\n",
            "1939 [D loss: 0.576419, acc.: 79.69%] [G loss: 0.885575]\n",
            "1940 [D loss: 0.561216, acc.: 75.00%] [G loss: 0.904548]\n",
            "1941 [D loss: 0.660299, acc.: 59.38%] [G loss: 0.871477]\n",
            "1942 [D loss: 0.571769, acc.: 78.12%] [G loss: 0.950268]\n",
            "1943 [D loss: 0.609923, acc.: 65.62%] [G loss: 0.910331]\n",
            "1944 [D loss: 0.613774, acc.: 62.50%] [G loss: 0.893217]\n",
            "1945 [D loss: 0.601161, acc.: 64.06%] [G loss: 0.802494]\n",
            "1946 [D loss: 0.584223, acc.: 65.62%] [G loss: 0.830236]\n",
            "1947 [D loss: 0.600297, acc.: 65.62%] [G loss: 0.916703]\n",
            "1948 [D loss: 0.664836, acc.: 51.56%] [G loss: 0.932818]\n",
            "1949 [D loss: 0.648782, acc.: 62.50%] [G loss: 0.945870]\n",
            "1950 [D loss: 0.604327, acc.: 67.19%] [G loss: 0.821657]\n",
            "1951 [D loss: 0.530356, acc.: 71.88%] [G loss: 0.898061]\n",
            "1952 [D loss: 0.637976, acc.: 62.50%] [G loss: 0.894932]\n",
            "1953 [D loss: 0.594626, acc.: 71.88%] [G loss: 0.967525]\n",
            "1954 [D loss: 0.622131, acc.: 70.31%] [G loss: 0.826294]\n",
            "1955 [D loss: 0.648926, acc.: 57.81%] [G loss: 0.891468]\n",
            "1956 [D loss: 0.623737, acc.: 64.06%] [G loss: 0.873319]\n",
            "1957 [D loss: 0.644160, acc.: 67.19%] [G loss: 0.899716]\n",
            "1958 [D loss: 0.709905, acc.: 56.25%] [G loss: 0.918555]\n",
            "1959 [D loss: 0.661669, acc.: 59.38%] [G loss: 0.886343]\n",
            "1960 [D loss: 0.618865, acc.: 57.81%] [G loss: 0.930775]\n",
            "1961 [D loss: 0.652374, acc.: 59.38%] [G loss: 0.914148]\n",
            "1962 [D loss: 0.648896, acc.: 62.50%] [G loss: 0.848214]\n",
            "1963 [D loss: 0.592878, acc.: 67.19%] [G loss: 0.854502]\n",
            "1964 [D loss: 0.597591, acc.: 68.75%] [G loss: 0.883098]\n",
            "1965 [D loss: 0.670521, acc.: 54.69%] [G loss: 0.956683]\n",
            "1966 [D loss: 0.634830, acc.: 65.62%] [G loss: 0.876416]\n",
            "1967 [D loss: 0.607493, acc.: 64.06%] [G loss: 0.897459]\n",
            "1968 [D loss: 0.524181, acc.: 78.12%] [G loss: 0.881419]\n",
            "1969 [D loss: 0.611884, acc.: 65.62%] [G loss: 0.863797]\n",
            "1970 [D loss: 0.594537, acc.: 67.19%] [G loss: 0.802289]\n",
            "1971 [D loss: 0.662359, acc.: 57.81%] [G loss: 0.984676]\n",
            "1972 [D loss: 0.685010, acc.: 62.50%] [G loss: 1.014162]\n",
            "1973 [D loss: 0.584644, acc.: 67.19%] [G loss: 0.978784]\n",
            "1974 [D loss: 0.574401, acc.: 71.88%] [G loss: 1.017247]\n",
            "1975 [D loss: 0.586565, acc.: 68.75%] [G loss: 0.997449]\n",
            "1976 [D loss: 0.585876, acc.: 70.31%] [G loss: 0.982381]\n",
            "1977 [D loss: 0.665274, acc.: 60.94%] [G loss: 1.093211]\n",
            "1978 [D loss: 0.679535, acc.: 56.25%] [G loss: 0.982708]\n",
            "1979 [D loss: 0.620791, acc.: 71.88%] [G loss: 0.950136]\n",
            "1980 [D loss: 0.622100, acc.: 65.62%] [G loss: 0.941083]\n",
            "1981 [D loss: 0.650696, acc.: 60.94%] [G loss: 0.905826]\n",
            "1982 [D loss: 0.595381, acc.: 64.06%] [G loss: 0.866414]\n",
            "1983 [D loss: 0.648974, acc.: 59.38%] [G loss: 0.928307]\n",
            "1984 [D loss: 0.620457, acc.: 68.75%] [G loss: 1.033459]\n",
            "1985 [D loss: 0.655493, acc.: 59.38%] [G loss: 0.969850]\n",
            "1986 [D loss: 0.596035, acc.: 64.06%] [G loss: 0.877437]\n",
            "1987 [D loss: 0.667989, acc.: 57.81%] [G loss: 0.928431]\n",
            "1988 [D loss: 0.656357, acc.: 53.12%] [G loss: 0.876897]\n",
            "1989 [D loss: 0.607444, acc.: 65.62%] [G loss: 0.903454]\n",
            "1990 [D loss: 0.665106, acc.: 60.94%] [G loss: 0.880634]\n",
            "1991 [D loss: 0.616787, acc.: 64.06%] [G loss: 0.927462]\n",
            "1992 [D loss: 0.613951, acc.: 64.06%] [G loss: 0.807630]\n",
            "1993 [D loss: 0.687612, acc.: 46.88%] [G loss: 0.863379]\n",
            "1994 [D loss: 0.682344, acc.: 53.12%] [G loss: 0.864533]\n",
            "1995 [D loss: 0.660631, acc.: 56.25%] [G loss: 0.887296]\n",
            "1996 [D loss: 0.590898, acc.: 71.88%] [G loss: 0.867518]\n",
            "1997 [D loss: 0.608729, acc.: 62.50%] [G loss: 0.944570]\n",
            "1998 [D loss: 0.714935, acc.: 48.44%] [G loss: 0.913306]\n",
            "1999 [D loss: 0.619690, acc.: 59.38%] [G loss: 0.967227]\n",
            "2000 [D loss: 0.620736, acc.: 62.50%] [G loss: 0.906044]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBNrshBBJoM1OCJEE2uyEEEnwf3IOpE1dPi2eAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "2001 [D loss: 0.589274, acc.: 67.19%] [G loss: 0.934803]\n",
            "2002 [D loss: 0.610929, acc.: 71.88%] [G loss: 0.923992]\n",
            "2003 [D loss: 0.616861, acc.: 60.94%] [G loss: 0.941022]\n",
            "2004 [D loss: 0.627543, acc.: 64.06%] [G loss: 0.981468]\n",
            "2005 [D loss: 0.642655, acc.: 59.38%] [G loss: 0.912190]\n",
            "2006 [D loss: 0.673160, acc.: 62.50%] [G loss: 0.926896]\n",
            "2007 [D loss: 0.611533, acc.: 64.06%] [G loss: 0.897646]\n",
            "2008 [D loss: 0.618308, acc.: 65.62%] [G loss: 0.889654]\n",
            "2009 [D loss: 0.604673, acc.: 68.75%] [G loss: 0.909598]\n",
            "2010 [D loss: 0.537744, acc.: 71.88%] [G loss: 0.921883]\n",
            "2011 [D loss: 0.591605, acc.: 70.31%] [G loss: 0.939372]\n",
            "2012 [D loss: 0.638778, acc.: 59.38%] [G loss: 0.926026]\n",
            "2013 [D loss: 0.583301, acc.: 68.75%] [G loss: 0.980907]\n",
            "2014 [D loss: 0.619387, acc.: 64.06%] [G loss: 0.905788]\n",
            "2015 [D loss: 0.660221, acc.: 57.81%] [G loss: 0.978507]\n",
            "2016 [D loss: 0.596915, acc.: 76.56%] [G loss: 0.959284]\n",
            "2017 [D loss: 0.678492, acc.: 53.12%] [G loss: 0.917034]\n",
            "2018 [D loss: 0.539280, acc.: 71.88%] [G loss: 1.039211]\n",
            "2019 [D loss: 0.598371, acc.: 70.31%] [G loss: 0.940937]\n",
            "2020 [D loss: 0.566385, acc.: 64.06%] [G loss: 0.947173]\n",
            "2021 [D loss: 0.580818, acc.: 71.88%] [G loss: 0.980698]\n",
            "2022 [D loss: 0.589235, acc.: 67.19%] [G loss: 0.960396]\n",
            "2023 [D loss: 0.544868, acc.: 76.56%] [G loss: 0.977945]\n",
            "2024 [D loss: 0.659991, acc.: 62.50%] [G loss: 0.944014]\n",
            "2025 [D loss: 0.601330, acc.: 65.62%] [G loss: 0.987928]\n",
            "2026 [D loss: 0.664212, acc.: 59.38%] [G loss: 0.931512]\n",
            "2027 [D loss: 0.544203, acc.: 70.31%] [G loss: 0.938357]\n",
            "2028 [D loss: 0.567655, acc.: 68.75%] [G loss: 0.887966]\n",
            "2029 [D loss: 0.679983, acc.: 59.38%] [G loss: 0.953821]\n",
            "2030 [D loss: 0.684740, acc.: 57.81%] [G loss: 0.883596]\n",
            "2031 [D loss: 0.615723, acc.: 56.25%] [G loss: 0.905461]\n",
            "2032 [D loss: 0.589671, acc.: 67.19%] [G loss: 1.016707]\n",
            "2033 [D loss: 0.630072, acc.: 60.94%] [G loss: 0.949122]\n",
            "2034 [D loss: 0.652468, acc.: 60.94%] [G loss: 0.930089]\n",
            "2035 [D loss: 0.645423, acc.: 62.50%] [G loss: 0.893831]\n",
            "2036 [D loss: 0.658792, acc.: 62.50%] [G loss: 0.888243]\n",
            "2037 [D loss: 0.630156, acc.: 60.94%] [G loss: 1.005638]\n",
            "2038 [D loss: 0.653656, acc.: 60.94%] [G loss: 0.864362]\n",
            "2039 [D loss: 0.634417, acc.: 60.94%] [G loss: 0.878294]\n",
            "2040 [D loss: 0.616366, acc.: 64.06%] [G loss: 0.921107]\n",
            "2041 [D loss: 0.614719, acc.: 62.50%] [G loss: 0.813301]\n",
            "2042 [D loss: 0.661813, acc.: 59.38%] [G loss: 0.753565]\n",
            "2043 [D loss: 0.678254, acc.: 48.44%] [G loss: 0.850946]\n",
            "2044 [D loss: 0.599931, acc.: 57.81%] [G loss: 0.893843]\n",
            "2045 [D loss: 0.592158, acc.: 71.88%] [G loss: 0.851720]\n",
            "2046 [D loss: 0.648391, acc.: 60.94%] [G loss: 0.968792]\n",
            "2047 [D loss: 0.630030, acc.: 62.50%] [G loss: 0.897476]\n",
            "2048 [D loss: 0.656413, acc.: 60.94%] [G loss: 0.935441]\n",
            "2049 [D loss: 0.617532, acc.: 60.94%] [G loss: 0.933575]\n",
            "2050 [D loss: 0.678195, acc.: 62.50%] [G loss: 0.921467]\n",
            "2051 [D loss: 0.680465, acc.: 62.50%] [G loss: 0.955331]\n",
            "2052 [D loss: 0.649234, acc.: 62.50%] [G loss: 0.959717]\n",
            "2053 [D loss: 0.665818, acc.: 54.69%] [G loss: 0.995094]\n",
            "2054 [D loss: 0.690136, acc.: 62.50%] [G loss: 0.913405]\n",
            "2055 [D loss: 0.618841, acc.: 60.94%] [G loss: 0.895024]\n",
            "2056 [D loss: 0.603162, acc.: 62.50%] [G loss: 0.942036]\n",
            "2057 [D loss: 0.587324, acc.: 70.31%] [G loss: 1.034881]\n",
            "2058 [D loss: 0.637037, acc.: 68.75%] [G loss: 0.964731]\n",
            "2059 [D loss: 0.677850, acc.: 56.25%] [G loss: 0.917851]\n",
            "2060 [D loss: 0.620881, acc.: 65.62%] [G loss: 0.965055]\n",
            "2061 [D loss: 0.677944, acc.: 56.25%] [G loss: 0.962120]\n",
            "2062 [D loss: 0.650837, acc.: 62.50%] [G loss: 0.898789]\n",
            "2063 [D loss: 0.607079, acc.: 68.75%] [G loss: 0.963386]\n",
            "2064 [D loss: 0.659752, acc.: 56.25%] [G loss: 0.916462]\n",
            "2065 [D loss: 0.674208, acc.: 56.25%] [G loss: 0.936762]\n",
            "2066 [D loss: 0.665020, acc.: 57.81%] [G loss: 0.852593]\n",
            "2067 [D loss: 0.541605, acc.: 79.69%] [G loss: 0.936679]\n",
            "2068 [D loss: 0.687349, acc.: 50.00%] [G loss: 0.911734]\n",
            "2069 [D loss: 0.572624, acc.: 76.56%] [G loss: 0.938820]\n",
            "2070 [D loss: 0.641034, acc.: 60.94%] [G loss: 0.974972]\n",
            "2071 [D loss: 0.572553, acc.: 75.00%] [G loss: 0.920146]\n",
            "2072 [D loss: 0.660022, acc.: 57.81%] [G loss: 0.908352]\n",
            "2073 [D loss: 0.668540, acc.: 53.12%] [G loss: 0.968185]\n",
            "2074 [D loss: 0.588033, acc.: 73.44%] [G loss: 0.936932]\n",
            "2075 [D loss: 0.637807, acc.: 60.94%] [G loss: 1.015720]\n",
            "2076 [D loss: 0.582458, acc.: 64.06%] [G loss: 0.878162]\n",
            "2077 [D loss: 0.694079, acc.: 51.56%] [G loss: 0.968013]\n",
            "2078 [D loss: 0.585137, acc.: 67.19%] [G loss: 0.968638]\n",
            "2079 [D loss: 0.607034, acc.: 64.06%] [G loss: 1.001662]\n",
            "2080 [D loss: 0.621936, acc.: 68.75%] [G loss: 0.873177]\n",
            "2081 [D loss: 0.637298, acc.: 65.62%] [G loss: 1.010962]\n",
            "2082 [D loss: 0.656937, acc.: 62.50%] [G loss: 0.968839]\n",
            "2083 [D loss: 0.605284, acc.: 71.88%] [G loss: 0.896159]\n",
            "2084 [D loss: 0.640842, acc.: 62.50%] [G loss: 0.842258]\n",
            "2085 [D loss: 0.617055, acc.: 70.31%] [G loss: 0.892145]\n",
            "2086 [D loss: 0.660448, acc.: 62.50%] [G loss: 0.876907]\n",
            "2087 [D loss: 0.650041, acc.: 65.62%] [G loss: 0.846429]\n",
            "2088 [D loss: 0.654405, acc.: 53.12%] [G loss: 0.950362]\n",
            "2089 [D loss: 0.639175, acc.: 62.50%] [G loss: 0.919466]\n",
            "2090 [D loss: 0.600574, acc.: 73.44%] [G loss: 0.942233]\n",
            "2091 [D loss: 0.554782, acc.: 71.88%] [G loss: 0.955607]\n",
            "2092 [D loss: 0.656591, acc.: 59.38%] [G loss: 0.804062]\n",
            "2093 [D loss: 0.635986, acc.: 67.19%] [G loss: 0.807446]\n",
            "2094 [D loss: 0.603674, acc.: 67.19%] [G loss: 0.918419]\n",
            "2095 [D loss: 0.664537, acc.: 53.12%] [G loss: 0.880106]\n",
            "2096 [D loss: 0.663237, acc.: 53.12%] [G loss: 0.896565]\n",
            "2097 [D loss: 0.601424, acc.: 70.31%] [G loss: 0.894327]\n",
            "2098 [D loss: 0.660040, acc.: 64.06%] [G loss: 0.898688]\n",
            "2099 [D loss: 0.609130, acc.: 64.06%] [G loss: 1.018989]\n",
            "2100 [D loss: 0.648723, acc.: 59.38%] [G loss: 0.895985]\n",
            "2101 [D loss: 0.589791, acc.: 71.88%] [G loss: 0.932809]\n",
            "2102 [D loss: 0.637136, acc.: 57.81%] [G loss: 0.996043]\n",
            "2103 [D loss: 0.684771, acc.: 54.69%] [G loss: 0.945273]\n",
            "2104 [D loss: 0.681250, acc.: 57.81%] [G loss: 0.915614]\n",
            "2105 [D loss: 0.640601, acc.: 62.50%] [G loss: 0.894652]\n",
            "2106 [D loss: 0.660509, acc.: 60.94%] [G loss: 0.749300]\n",
            "2107 [D loss: 0.633353, acc.: 64.06%] [G loss: 0.883670]\n",
            "2108 [D loss: 0.681111, acc.: 59.38%] [G loss: 0.843397]\n",
            "2109 [D loss: 0.625143, acc.: 62.50%] [G loss: 0.875012]\n",
            "2110 [D loss: 0.594902, acc.: 68.75%] [G loss: 0.971352]\n",
            "2111 [D loss: 0.665741, acc.: 60.94%] [G loss: 0.982540]\n",
            "2112 [D loss: 0.615194, acc.: 64.06%] [G loss: 0.926077]\n",
            "2113 [D loss: 0.616199, acc.: 67.19%] [G loss: 1.000900]\n",
            "2114 [D loss: 0.658149, acc.: 57.81%] [G loss: 0.910544]\n",
            "2115 [D loss: 0.574586, acc.: 70.31%] [G loss: 0.800272]\n",
            "2116 [D loss: 0.619464, acc.: 67.19%] [G loss: 0.971563]\n",
            "2117 [D loss: 0.661821, acc.: 70.31%] [G loss: 0.926218]\n",
            "2118 [D loss: 0.659815, acc.: 57.81%] [G loss: 1.002749]\n",
            "2119 [D loss: 0.603898, acc.: 71.88%] [G loss: 0.961375]\n",
            "2120 [D loss: 0.681943, acc.: 57.81%] [G loss: 0.868033]\n",
            "2121 [D loss: 0.648592, acc.: 57.81%] [G loss: 0.898845]\n",
            "2122 [D loss: 0.649054, acc.: 60.94%] [G loss: 0.795828]\n",
            "2123 [D loss: 0.636334, acc.: 64.06%] [G loss: 0.832695]\n",
            "2124 [D loss: 0.658550, acc.: 60.94%] [G loss: 0.869401]\n",
            "2125 [D loss: 0.673339, acc.: 56.25%] [G loss: 0.939913]\n",
            "2126 [D loss: 0.591432, acc.: 67.19%] [G loss: 1.029971]\n",
            "2127 [D loss: 0.640347, acc.: 65.62%] [G loss: 1.004873]\n",
            "2128 [D loss: 0.624658, acc.: 54.69%] [G loss: 0.936309]\n",
            "2129 [D loss: 0.580611, acc.: 70.31%] [G loss: 0.926990]\n",
            "2130 [D loss: 0.650753, acc.: 60.94%] [G loss: 0.908588]\n",
            "2131 [D loss: 0.697304, acc.: 54.69%] [G loss: 0.859497]\n",
            "2132 [D loss: 0.680363, acc.: 67.19%] [G loss: 0.906613]\n",
            "2133 [D loss: 0.625477, acc.: 68.75%] [G loss: 1.035923]\n",
            "2134 [D loss: 0.627477, acc.: 67.19%] [G loss: 0.932916]\n",
            "2135 [D loss: 0.656258, acc.: 59.38%] [G loss: 0.886388]\n",
            "2136 [D loss: 0.599113, acc.: 70.31%] [G loss: 0.875166]\n",
            "2137 [D loss: 0.575716, acc.: 70.31%] [G loss: 0.860622]\n",
            "2138 [D loss: 0.586289, acc.: 71.88%] [G loss: 0.850629]\n",
            "2139 [D loss: 0.656999, acc.: 59.38%] [G loss: 0.905061]\n",
            "2140 [D loss: 0.651600, acc.: 70.31%] [G loss: 0.973127]\n",
            "2141 [D loss: 0.583039, acc.: 68.75%] [G loss: 0.889675]\n",
            "2142 [D loss: 0.617414, acc.: 56.25%] [G loss: 0.927341]\n",
            "2143 [D loss: 0.666461, acc.: 56.25%] [G loss: 0.901275]\n",
            "2144 [D loss: 0.585432, acc.: 68.75%] [G loss: 0.961240]\n",
            "2145 [D loss: 0.576504, acc.: 76.56%] [G loss: 0.888793]\n",
            "2146 [D loss: 0.595276, acc.: 70.31%] [G loss: 0.943475]\n",
            "2147 [D loss: 0.677948, acc.: 59.38%] [G loss: 0.989887]\n",
            "2148 [D loss: 0.632959, acc.: 67.19%] [G loss: 0.983224]\n",
            "2149 [D loss: 0.674457, acc.: 64.06%] [G loss: 0.874265]\n",
            "2150 [D loss: 0.624928, acc.: 60.94%] [G loss: 0.835171]\n",
            "2151 [D loss: 0.585296, acc.: 76.56%] [G loss: 0.941898]\n",
            "2152 [D loss: 0.559690, acc.: 76.56%] [G loss: 0.917352]\n",
            "2153 [D loss: 0.617581, acc.: 62.50%] [G loss: 0.966643]\n",
            "2154 [D loss: 0.569919, acc.: 73.44%] [G loss: 0.969062]\n",
            "2155 [D loss: 0.637620, acc.: 53.12%] [G loss: 0.908042]\n",
            "2156 [D loss: 0.627935, acc.: 68.75%] [G loss: 0.993293]\n",
            "2157 [D loss: 0.650777, acc.: 60.94%] [G loss: 0.920879]\n",
            "2158 [D loss: 0.606700, acc.: 67.19%] [G loss: 0.908605]\n",
            "2159 [D loss: 0.629132, acc.: 67.19%] [G loss: 0.919872]\n",
            "2160 [D loss: 0.630008, acc.: 64.06%] [G loss: 0.847082]\n",
            "2161 [D loss: 0.673383, acc.: 57.81%] [G loss: 0.892055]\n",
            "2162 [D loss: 0.616057, acc.: 64.06%] [G loss: 0.792219]\n",
            "2163 [D loss: 0.614504, acc.: 62.50%] [G loss: 0.952134]\n",
            "2164 [D loss: 0.569276, acc.: 70.31%] [G loss: 0.877905]\n",
            "2165 [D loss: 0.662124, acc.: 57.81%] [G loss: 0.913340]\n",
            "2166 [D loss: 0.647789, acc.: 60.94%] [G loss: 0.966259]\n",
            "2167 [D loss: 0.552496, acc.: 73.44%] [G loss: 0.930240]\n",
            "2168 [D loss: 0.634308, acc.: 56.25%] [G loss: 1.001660]\n",
            "2169 [D loss: 0.648715, acc.: 60.94%] [G loss: 1.027564]\n",
            "2170 [D loss: 0.641182, acc.: 57.81%] [G loss: 0.985032]\n",
            "2171 [D loss: 0.688804, acc.: 57.81%] [G loss: 0.904246]\n",
            "2172 [D loss: 0.667095, acc.: 62.50%] [G loss: 0.908973]\n",
            "2173 [D loss: 0.591920, acc.: 68.75%] [G loss: 0.865550]\n",
            "2174 [D loss: 0.638317, acc.: 65.62%] [G loss: 0.909831]\n",
            "2175 [D loss: 0.588435, acc.: 70.31%] [G loss: 1.035233]\n",
            "2176 [D loss: 0.580094, acc.: 71.88%] [G loss: 0.951257]\n",
            "2177 [D loss: 0.572971, acc.: 75.00%] [G loss: 0.899284]\n",
            "2178 [D loss: 0.650139, acc.: 57.81%] [G loss: 0.931944]\n",
            "2179 [D loss: 0.609590, acc.: 65.62%] [G loss: 1.039795]\n",
            "2180 [D loss: 0.610619, acc.: 62.50%] [G loss: 0.914724]\n",
            "2181 [D loss: 0.578799, acc.: 68.75%] [G loss: 1.023096]\n",
            "2182 [D loss: 0.637150, acc.: 56.25%] [G loss: 0.981232]\n",
            "2183 [D loss: 0.740419, acc.: 59.38%] [G loss: 0.867713]\n",
            "2184 [D loss: 0.700812, acc.: 46.88%] [G loss: 0.851045]\n",
            "2185 [D loss: 0.606013, acc.: 60.94%] [G loss: 0.903888]\n",
            "2186 [D loss: 0.595695, acc.: 68.75%] [G loss: 0.918589]\n",
            "2187 [D loss: 0.634914, acc.: 65.62%] [G loss: 0.946994]\n",
            "2188 [D loss: 0.620271, acc.: 71.88%] [G loss: 1.000324]\n",
            "2189 [D loss: 0.643742, acc.: 57.81%] [G loss: 1.009926]\n",
            "2190 [D loss: 0.640452, acc.: 56.25%] [G loss: 0.951595]\n",
            "2191 [D loss: 0.589729, acc.: 67.19%] [G loss: 0.939276]\n",
            "2192 [D loss: 0.603459, acc.: 70.31%] [G loss: 1.000655]\n",
            "2193 [D loss: 0.590128, acc.: 70.31%] [G loss: 0.894270]\n",
            "2194 [D loss: 0.553615, acc.: 68.75%] [G loss: 0.897060]\n",
            "2195 [D loss: 0.611608, acc.: 65.62%] [G loss: 0.990566]\n",
            "2196 [D loss: 0.710751, acc.: 53.12%] [G loss: 0.925856]\n",
            "2197 [D loss: 0.708620, acc.: 53.12%] [G loss: 0.968304]\n",
            "2198 [D loss: 0.644803, acc.: 62.50%] [G loss: 0.875651]\n",
            "2199 [D loss: 0.572950, acc.: 78.12%] [G loss: 0.917437]\n",
            "2200 [D loss: 0.686526, acc.: 60.94%] [G loss: 0.906662]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4H8ANi4Lec8f26EAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "2201 [D loss: 0.607799, acc.: 68.75%] [G loss: 0.945975]\n",
            "2202 [D loss: 0.439991, acc.: 87.50%] [G loss: 1.015918]\n",
            "2203 [D loss: 0.716074, acc.: 50.00%] [G loss: 0.951852]\n",
            "2204 [D loss: 0.655334, acc.: 54.69%] [G loss: 0.965183]\n",
            "2205 [D loss: 0.512930, acc.: 82.81%] [G loss: 1.071069]\n",
            "2206 [D loss: 0.662272, acc.: 59.38%] [G loss: 0.917040]\n",
            "2207 [D loss: 0.655992, acc.: 59.38%] [G loss: 0.980224]\n",
            "2208 [D loss: 0.633139, acc.: 67.19%] [G loss: 0.944183]\n",
            "2209 [D loss: 0.600106, acc.: 60.94%] [G loss: 0.939337]\n",
            "2210 [D loss: 0.669119, acc.: 51.56%] [G loss: 0.896619]\n",
            "2211 [D loss: 0.584413, acc.: 68.75%] [G loss: 0.897558]\n",
            "2212 [D loss: 0.645436, acc.: 64.06%] [G loss: 0.965920]\n",
            "2213 [D loss: 0.668619, acc.: 56.25%] [G loss: 0.872398]\n",
            "2214 [D loss: 0.553089, acc.: 76.56%] [G loss: 0.938385]\n",
            "2215 [D loss: 0.629298, acc.: 59.38%] [G loss: 0.933449]\n",
            "2216 [D loss: 0.638982, acc.: 54.69%] [G loss: 0.921303]\n",
            "2217 [D loss: 0.693567, acc.: 57.81%] [G loss: 0.865817]\n",
            "2218 [D loss: 0.620556, acc.: 65.62%] [G loss: 0.841085]\n",
            "2219 [D loss: 0.711848, acc.: 59.38%] [G loss: 0.816345]\n",
            "2220 [D loss: 0.611997, acc.: 60.94%] [G loss: 0.854243]\n",
            "2221 [D loss: 0.619290, acc.: 62.50%] [G loss: 0.912681]\n",
            "2222 [D loss: 0.591893, acc.: 70.31%] [G loss: 0.835248]\n",
            "2223 [D loss: 0.639131, acc.: 64.06%] [G loss: 0.926041]\n",
            "2224 [D loss: 0.640881, acc.: 62.50%] [G loss: 0.910807]\n",
            "2225 [D loss: 0.609711, acc.: 67.19%] [G loss: 0.949537]\n",
            "2226 [D loss: 0.617353, acc.: 62.50%] [G loss: 0.978677]\n",
            "2227 [D loss: 0.607825, acc.: 65.62%] [G loss: 0.908465]\n",
            "2228 [D loss: 0.637401, acc.: 56.25%] [G loss: 0.914795]\n",
            "2229 [D loss: 0.631212, acc.: 65.62%] [G loss: 0.926446]\n",
            "2230 [D loss: 0.619690, acc.: 67.19%] [G loss: 0.889438]\n",
            "2231 [D loss: 0.617493, acc.: 56.25%] [G loss: 0.826145]\n",
            "2232 [D loss: 0.627357, acc.: 62.50%] [G loss: 0.858477]\n",
            "2233 [D loss: 0.609704, acc.: 70.31%] [G loss: 0.810612]\n",
            "2234 [D loss: 0.578615, acc.: 70.31%] [G loss: 0.916750]\n",
            "2235 [D loss: 0.630652, acc.: 59.38%] [G loss: 0.942758]\n",
            "2236 [D loss: 0.644833, acc.: 64.06%] [G loss: 0.875145]\n",
            "2237 [D loss: 0.559052, acc.: 79.69%] [G loss: 0.882474]\n",
            "2238 [D loss: 0.618378, acc.: 65.62%] [G loss: 0.897008]\n",
            "2239 [D loss: 0.626925, acc.: 56.25%] [G loss: 0.925130]\n",
            "2240 [D loss: 0.622473, acc.: 64.06%] [G loss: 0.965793]\n",
            "2241 [D loss: 0.614873, acc.: 71.88%] [G loss: 0.934957]\n",
            "2242 [D loss: 0.645053, acc.: 62.50%] [G loss: 0.945299]\n",
            "2243 [D loss: 0.649545, acc.: 65.62%] [G loss: 0.958073]\n",
            "2244 [D loss: 0.664149, acc.: 56.25%] [G loss: 0.967113]\n",
            "2245 [D loss: 0.616102, acc.: 68.75%] [G loss: 0.864261]\n",
            "2246 [D loss: 0.620748, acc.: 62.50%] [G loss: 0.880095]\n",
            "2247 [D loss: 0.565324, acc.: 71.88%] [G loss: 0.927488]\n",
            "2248 [D loss: 0.568377, acc.: 65.62%] [G loss: 0.887046]\n",
            "2249 [D loss: 0.673474, acc.: 54.69%] [G loss: 1.025646]\n",
            "2250 [D loss: 0.608358, acc.: 62.50%] [G loss: 0.941114]\n",
            "2251 [D loss: 0.715840, acc.: 46.88%] [G loss: 0.930074]\n",
            "2252 [D loss: 0.571872, acc.: 71.88%] [G loss: 0.925908]\n",
            "2253 [D loss: 0.576832, acc.: 64.06%] [G loss: 1.040029]\n",
            "2254 [D loss: 0.596221, acc.: 62.50%] [G loss: 0.917409]\n",
            "2255 [D loss: 0.612125, acc.: 62.50%] [G loss: 0.982585]\n",
            "2256 [D loss: 0.705437, acc.: 60.94%] [G loss: 0.921442]\n",
            "2257 [D loss: 0.645582, acc.: 56.25%] [G loss: 0.814984]\n",
            "2258 [D loss: 0.626192, acc.: 67.19%] [G loss: 0.940369]\n",
            "2259 [D loss: 0.673440, acc.: 53.12%] [G loss: 1.025960]\n",
            "2260 [D loss: 0.585659, acc.: 76.56%] [G loss: 1.028465]\n",
            "2261 [D loss: 0.686323, acc.: 57.81%] [G loss: 0.986978]\n",
            "2262 [D loss: 0.582537, acc.: 67.19%] [G loss: 0.872774]\n",
            "2263 [D loss: 0.633702, acc.: 65.62%] [G loss: 0.993815]\n",
            "2264 [D loss: 0.617622, acc.: 62.50%] [G loss: 0.847387]\n",
            "2265 [D loss: 0.671707, acc.: 62.50%] [G loss: 0.913330]\n",
            "2266 [D loss: 0.664000, acc.: 60.94%] [G loss: 0.965440]\n",
            "2267 [D loss: 0.683067, acc.: 56.25%] [G loss: 0.954079]\n",
            "2268 [D loss: 0.559336, acc.: 75.00%] [G loss: 0.935636]\n",
            "2269 [D loss: 0.676901, acc.: 54.69%] [G loss: 0.916833]\n",
            "2270 [D loss: 0.572789, acc.: 71.88%] [G loss: 0.923718]\n",
            "2271 [D loss: 0.612133, acc.: 64.06%] [G loss: 0.906838]\n",
            "2272 [D loss: 0.693208, acc.: 54.69%] [G loss: 0.944498]\n",
            "2273 [D loss: 0.564114, acc.: 76.56%] [G loss: 0.953794]\n",
            "2274 [D loss: 0.595806, acc.: 62.50%] [G loss: 0.990087]\n",
            "2275 [D loss: 0.685115, acc.: 57.81%] [G loss: 0.927675]\n",
            "2276 [D loss: 0.633005, acc.: 64.06%] [G loss: 0.857834]\n",
            "2277 [D loss: 0.691004, acc.: 59.38%] [G loss: 0.834569]\n",
            "2278 [D loss: 0.543689, acc.: 73.44%] [G loss: 0.876202]\n",
            "2279 [D loss: 0.708054, acc.: 54.69%] [G loss: 0.927913]\n",
            "2280 [D loss: 0.606206, acc.: 67.19%] [G loss: 1.035274]\n",
            "2281 [D loss: 0.692335, acc.: 51.56%] [G loss: 0.904232]\n",
            "2282 [D loss: 0.605815, acc.: 71.88%] [G loss: 0.948365]\n",
            "2283 [D loss: 0.611590, acc.: 68.75%] [G loss: 0.848872]\n",
            "2284 [D loss: 0.612573, acc.: 68.75%] [G loss: 0.857286]\n",
            "2285 [D loss: 0.725633, acc.: 59.38%] [G loss: 0.916438]\n",
            "2286 [D loss: 0.642090, acc.: 62.50%] [G loss: 0.925498]\n",
            "2287 [D loss: 0.632027, acc.: 59.38%] [G loss: 0.993869]\n",
            "2288 [D loss: 0.600586, acc.: 67.19%] [G loss: 0.918742]\n",
            "2289 [D loss: 0.622147, acc.: 64.06%] [G loss: 0.943733]\n",
            "2290 [D loss: 0.686977, acc.: 50.00%] [G loss: 0.911389]\n",
            "2291 [D loss: 0.671170, acc.: 54.69%] [G loss: 0.899684]\n",
            "2292 [D loss: 0.590004, acc.: 65.62%] [G loss: 0.838652]\n",
            "2293 [D loss: 0.686921, acc.: 57.81%] [G loss: 0.931231]\n",
            "2294 [D loss: 0.568424, acc.: 70.31%] [G loss: 0.893092]\n",
            "2295 [D loss: 0.596248, acc.: 65.62%] [G loss: 0.907092]\n",
            "2296 [D loss: 0.658681, acc.: 64.06%] [G loss: 0.949875]\n",
            "2297 [D loss: 0.621352, acc.: 64.06%] [G loss: 0.827139]\n",
            "2298 [D loss: 0.649323, acc.: 60.94%] [G loss: 0.950306]\n",
            "2299 [D loss: 0.594547, acc.: 70.31%] [G loss: 0.817002]\n",
            "2300 [D loss: 0.607510, acc.: 70.31%] [G loss: 0.922494]\n",
            "2301 [D loss: 0.596389, acc.: 71.88%] [G loss: 0.931271]\n",
            "2302 [D loss: 0.674565, acc.: 60.94%] [G loss: 0.833767]\n",
            "2303 [D loss: 0.664050, acc.: 56.25%] [G loss: 0.872256]\n",
            "2304 [D loss: 0.644332, acc.: 62.50%] [G loss: 0.884748]\n",
            "2305 [D loss: 0.547245, acc.: 75.00%] [G loss: 0.963816]\n",
            "2306 [D loss: 0.593940, acc.: 68.75%] [G loss: 1.009784]\n",
            "2307 [D loss: 0.578244, acc.: 71.88%] [G loss: 0.952949]\n",
            "2308 [D loss: 0.643937, acc.: 57.81%] [G loss: 1.003074]\n",
            "2309 [D loss: 0.541617, acc.: 70.31%] [G loss: 0.926290]\n",
            "2310 [D loss: 0.490076, acc.: 81.25%] [G loss: 1.024146]\n",
            "2311 [D loss: 0.667489, acc.: 60.94%] [G loss: 0.981704]\n",
            "2312 [D loss: 0.610749, acc.: 60.94%] [G loss: 1.004817]\n",
            "2313 [D loss: 0.692082, acc.: 64.06%] [G loss: 0.981389]\n",
            "2314 [D loss: 0.658060, acc.: 54.69%] [G loss: 0.905469]\n",
            "2315 [D loss: 0.605842, acc.: 64.06%] [G loss: 1.025608]\n",
            "2316 [D loss: 0.599115, acc.: 68.75%] [G loss: 0.923283]\n",
            "2317 [D loss: 0.657371, acc.: 62.50%] [G loss: 0.949003]\n",
            "2318 [D loss: 0.625298, acc.: 57.81%] [G loss: 0.899139]\n",
            "2319 [D loss: 0.672248, acc.: 51.56%] [G loss: 0.908843]\n",
            "2320 [D loss: 0.685414, acc.: 53.12%] [G loss: 0.912543]\n",
            "2321 [D loss: 0.614746, acc.: 65.62%] [G loss: 0.914645]\n",
            "2322 [D loss: 0.639036, acc.: 67.19%] [G loss: 0.849799]\n",
            "2323 [D loss: 0.620483, acc.: 64.06%] [G loss: 0.878869]\n",
            "2324 [D loss: 0.606550, acc.: 60.94%] [G loss: 0.976599]\n",
            "2325 [D loss: 0.593163, acc.: 67.19%] [G loss: 0.882669]\n",
            "2326 [D loss: 0.659124, acc.: 59.38%] [G loss: 1.007575]\n",
            "2327 [D loss: 0.667907, acc.: 53.12%] [G loss: 0.926046]\n",
            "2328 [D loss: 0.590200, acc.: 75.00%] [G loss: 0.900878]\n",
            "2329 [D loss: 0.614648, acc.: 67.19%] [G loss: 0.930643]\n",
            "2330 [D loss: 0.658622, acc.: 54.69%] [G loss: 0.850826]\n",
            "2331 [D loss: 0.694348, acc.: 53.12%] [G loss: 0.933202]\n",
            "2332 [D loss: 0.659556, acc.: 67.19%] [G loss: 0.884306]\n",
            "2333 [D loss: 0.626592, acc.: 62.50%] [G loss: 0.997703]\n",
            "2334 [D loss: 0.622780, acc.: 67.19%] [G loss: 0.920118]\n",
            "2335 [D loss: 0.717680, acc.: 53.12%] [G loss: 0.857925]\n",
            "2336 [D loss: 0.648438, acc.: 60.94%] [G loss: 0.862543]\n",
            "2337 [D loss: 0.651112, acc.: 62.50%] [G loss: 0.900667]\n",
            "2338 [D loss: 0.612199, acc.: 64.06%] [G loss: 0.975460]\n",
            "2339 [D loss: 0.591123, acc.: 68.75%] [G loss: 0.879363]\n",
            "2340 [D loss: 0.677229, acc.: 51.56%] [G loss: 0.842850]\n",
            "2341 [D loss: 0.627328, acc.: 59.38%] [G loss: 0.911361]\n",
            "2342 [D loss: 0.718832, acc.: 59.38%] [G loss: 0.908609]\n",
            "2343 [D loss: 0.665399, acc.: 51.56%] [G loss: 0.954138]\n",
            "2344 [D loss: 0.667043, acc.: 67.19%] [G loss: 0.841483]\n",
            "2345 [D loss: 0.581897, acc.: 71.88%] [G loss: 0.933377]\n",
            "2346 [D loss: 0.592880, acc.: 76.56%] [G loss: 0.963511]\n",
            "2347 [D loss: 0.570339, acc.: 76.56%] [G loss: 0.889139]\n",
            "2348 [D loss: 0.678478, acc.: 60.94%] [G loss: 0.857287]\n",
            "2349 [D loss: 0.603190, acc.: 70.31%] [G loss: 0.872961]\n",
            "2350 [D loss: 0.627270, acc.: 60.94%] [G loss: 0.878239]\n",
            "2351 [D loss: 0.613400, acc.: 64.06%] [G loss: 0.916158]\n",
            "2352 [D loss: 0.601425, acc.: 68.75%] [G loss: 0.903567]\n",
            "2353 [D loss: 0.693470, acc.: 53.12%] [G loss: 0.860181]\n",
            "2354 [D loss: 0.643168, acc.: 62.50%] [G loss: 0.840961]\n",
            "2355 [D loss: 0.632565, acc.: 60.94%] [G loss: 0.911278]\n",
            "2356 [D loss: 0.651079, acc.: 70.31%] [G loss: 0.807592]\n",
            "2357 [D loss: 0.610905, acc.: 65.62%] [G loss: 0.910719]\n",
            "2358 [D loss: 0.636978, acc.: 57.81%] [G loss: 0.898047]\n",
            "2359 [D loss: 0.634362, acc.: 60.94%] [G loss: 0.984025]\n",
            "2360 [D loss: 0.581502, acc.: 67.19%] [G loss: 0.871840]\n",
            "2361 [D loss: 0.584499, acc.: 65.62%] [G loss: 0.910787]\n",
            "2362 [D loss: 0.683768, acc.: 62.50%] [G loss: 0.884417]\n",
            "2363 [D loss: 0.662583, acc.: 70.31%] [G loss: 0.825024]\n",
            "2364 [D loss: 0.701827, acc.: 57.81%] [G loss: 0.913017]\n",
            "2365 [D loss: 0.592253, acc.: 68.75%] [G loss: 0.909138]\n",
            "2366 [D loss: 0.677941, acc.: 59.38%] [G loss: 0.857152]\n",
            "2367 [D loss: 0.658228, acc.: 57.81%] [G loss: 0.915145]\n",
            "2368 [D loss: 0.658230, acc.: 57.81%] [G loss: 0.862376]\n",
            "2369 [D loss: 0.566266, acc.: 71.88%] [G loss: 0.900487]\n",
            "2370 [D loss: 0.617087, acc.: 68.75%] [G loss: 0.916150]\n",
            "2371 [D loss: 0.602370, acc.: 67.19%] [G loss: 0.998317]\n",
            "2372 [D loss: 0.656680, acc.: 59.38%] [G loss: 0.881136]\n",
            "2373 [D loss: 0.616986, acc.: 65.62%] [G loss: 0.828085]\n",
            "2374 [D loss: 0.627040, acc.: 65.62%] [G loss: 0.926177]\n",
            "2375 [D loss: 0.615471, acc.: 67.19%] [G loss: 0.922292]\n",
            "2376 [D loss: 0.696535, acc.: 56.25%] [G loss: 0.924054]\n",
            "2377 [D loss: 0.601246, acc.: 67.19%] [G loss: 0.846319]\n",
            "2378 [D loss: 0.578161, acc.: 73.44%] [G loss: 0.880092]\n",
            "2379 [D loss: 0.636698, acc.: 60.94%] [G loss: 0.870405]\n",
            "2380 [D loss: 0.699041, acc.: 50.00%] [G loss: 0.886367]\n",
            "2381 [D loss: 0.624572, acc.: 65.62%] [G loss: 0.894097]\n",
            "2382 [D loss: 0.652364, acc.: 56.25%] [G loss: 0.874396]\n",
            "2383 [D loss: 0.628897, acc.: 67.19%] [G loss: 0.952351]\n",
            "2384 [D loss: 0.666107, acc.: 60.94%] [G loss: 0.919776]\n",
            "2385 [D loss: 0.624836, acc.: 64.06%] [G loss: 0.963634]\n",
            "2386 [D loss: 0.605040, acc.: 70.31%] [G loss: 0.906392]\n",
            "2387 [D loss: 0.564624, acc.: 73.44%] [G loss: 0.868074]\n",
            "2388 [D loss: 0.651329, acc.: 67.19%] [G loss: 0.945457]\n",
            "2389 [D loss: 0.616280, acc.: 67.19%] [G loss: 0.971290]\n",
            "2390 [D loss: 0.676293, acc.: 60.94%] [G loss: 0.951133]\n",
            "2391 [D loss: 0.590077, acc.: 70.31%] [G loss: 0.875785]\n",
            "2392 [D loss: 0.605062, acc.: 64.06%] [G loss: 0.897568]\n",
            "2393 [D loss: 0.633751, acc.: 62.50%] [G loss: 0.954865]\n",
            "2394 [D loss: 0.628096, acc.: 70.31%] [G loss: 0.883370]\n",
            "2395 [D loss: 0.660149, acc.: 56.25%] [G loss: 0.960303]\n",
            "2396 [D loss: 0.601935, acc.: 70.31%] [G loss: 0.923150]\n",
            "2397 [D loss: 0.634930, acc.: 65.62%] [G loss: 0.838105]\n",
            "2398 [D loss: 0.651372, acc.: 62.50%] [G loss: 0.901142]\n",
            "2399 [D loss: 0.622594, acc.: 65.62%] [G loss: 0.898039]\n",
            "2400 [D loss: 0.629238, acc.: 64.06%] [G loss: 0.922966]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niCTQZieESIL/Byv2H/V9jGeRAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "2401 [D loss: 0.631903, acc.: 67.19%] [G loss: 0.958949]\n",
            "2402 [D loss: 0.610727, acc.: 68.75%] [G loss: 0.829521]\n",
            "2403 [D loss: 0.648811, acc.: 54.69%] [G loss: 0.888910]\n",
            "2404 [D loss: 0.655438, acc.: 60.94%] [G loss: 0.891283]\n",
            "2405 [D loss: 0.686919, acc.: 56.25%] [G loss: 0.967261]\n",
            "2406 [D loss: 0.622564, acc.: 65.62%] [G loss: 0.883699]\n",
            "2407 [D loss: 0.685900, acc.: 51.56%] [G loss: 0.854247]\n",
            "2408 [D loss: 0.617667, acc.: 62.50%] [G loss: 0.913639]\n",
            "2409 [D loss: 0.658932, acc.: 60.94%] [G loss: 0.937928]\n",
            "2410 [D loss: 0.592911, acc.: 64.06%] [G loss: 0.908469]\n",
            "2411 [D loss: 0.617344, acc.: 71.88%] [G loss: 0.908021]\n",
            "2412 [D loss: 0.620671, acc.: 62.50%] [G loss: 0.879039]\n",
            "2413 [D loss: 0.700264, acc.: 50.00%] [G loss: 0.894273]\n",
            "2414 [D loss: 0.693307, acc.: 54.69%] [G loss: 0.939546]\n",
            "2415 [D loss: 0.677497, acc.: 57.81%] [G loss: 0.782868]\n",
            "2416 [D loss: 0.661685, acc.: 53.12%] [G loss: 0.798352]\n",
            "2417 [D loss: 0.640030, acc.: 65.62%] [G loss: 0.945904]\n",
            "2418 [D loss: 0.633612, acc.: 60.94%] [G loss: 0.888192]\n",
            "2419 [D loss: 0.640555, acc.: 62.50%] [G loss: 0.968042]\n",
            "2420 [D loss: 0.636043, acc.: 65.62%] [G loss: 0.859748]\n",
            "2421 [D loss: 0.635762, acc.: 53.12%] [G loss: 0.887822]\n",
            "2422 [D loss: 0.610518, acc.: 65.62%] [G loss: 0.824611]\n",
            "2423 [D loss: 0.648559, acc.: 57.81%] [G loss: 0.887255]\n",
            "2424 [D loss: 0.592914, acc.: 68.75%] [G loss: 0.925243]\n",
            "2425 [D loss: 0.669642, acc.: 50.00%] [G loss: 0.917703]\n",
            "2426 [D loss: 0.587030, acc.: 68.75%] [G loss: 0.944148]\n",
            "2427 [D loss: 0.647872, acc.: 65.62%] [G loss: 0.902634]\n",
            "2428 [D loss: 0.604958, acc.: 65.62%] [G loss: 0.987936]\n",
            "2429 [D loss: 0.724352, acc.: 45.31%] [G loss: 0.959283]\n",
            "2430 [D loss: 0.596523, acc.: 68.75%] [G loss: 0.924497]\n",
            "2431 [D loss: 0.627333, acc.: 62.50%] [G loss: 0.954793]\n",
            "2432 [D loss: 0.643224, acc.: 59.38%] [G loss: 0.882860]\n",
            "2433 [D loss: 0.618804, acc.: 73.44%] [G loss: 0.818137]\n",
            "2434 [D loss: 0.644387, acc.: 57.81%] [G loss: 0.847741]\n",
            "2435 [D loss: 0.627519, acc.: 64.06%] [G loss: 0.836083]\n",
            "2436 [D loss: 0.610677, acc.: 68.75%] [G loss: 0.936519]\n",
            "2437 [D loss: 0.608364, acc.: 67.19%] [G loss: 0.855581]\n",
            "2438 [D loss: 0.670644, acc.: 57.81%] [G loss: 0.860571]\n",
            "2439 [D loss: 0.661938, acc.: 62.50%] [G loss: 0.818860]\n",
            "2440 [D loss: 0.677406, acc.: 62.50%] [G loss: 0.869388]\n",
            "2441 [D loss: 0.621010, acc.: 64.06%] [G loss: 0.862410]\n",
            "2442 [D loss: 0.665551, acc.: 56.25%] [G loss: 0.933928]\n",
            "2443 [D loss: 0.594356, acc.: 68.75%] [G loss: 0.943555]\n",
            "2444 [D loss: 0.612848, acc.: 71.88%] [G loss: 0.962583]\n",
            "2445 [D loss: 0.544140, acc.: 76.56%] [G loss: 0.912374]\n",
            "2446 [D loss: 0.617575, acc.: 67.19%] [G loss: 0.957764]\n",
            "2447 [D loss: 0.661838, acc.: 57.81%] [G loss: 0.976050]\n",
            "2448 [D loss: 0.557597, acc.: 68.75%] [G loss: 0.966791]\n",
            "2449 [D loss: 0.665090, acc.: 59.38%] [G loss: 0.989655]\n",
            "2450 [D loss: 0.656149, acc.: 60.94%] [G loss: 1.034314]\n",
            "2451 [D loss: 0.678945, acc.: 60.94%] [G loss: 0.966769]\n",
            "2452 [D loss: 0.630605, acc.: 67.19%] [G loss: 0.871911]\n",
            "2453 [D loss: 0.555960, acc.: 73.44%] [G loss: 0.890510]\n",
            "2454 [D loss: 0.673648, acc.: 62.50%] [G loss: 0.878263]\n",
            "2455 [D loss: 0.635170, acc.: 59.38%] [G loss: 0.828571]\n",
            "2456 [D loss: 0.625411, acc.: 62.50%] [G loss: 1.033105]\n",
            "2457 [D loss: 0.606011, acc.: 68.75%] [G loss: 0.923931]\n",
            "2458 [D loss: 0.659194, acc.: 57.81%] [G loss: 0.953816]\n",
            "2459 [D loss: 0.622916, acc.: 64.06%] [G loss: 0.908469]\n",
            "2460 [D loss: 0.674861, acc.: 56.25%] [G loss: 0.916237]\n",
            "2461 [D loss: 0.708240, acc.: 53.12%] [G loss: 0.946009]\n",
            "2462 [D loss: 0.586581, acc.: 64.06%] [G loss: 0.838729]\n",
            "2463 [D loss: 0.606059, acc.: 71.88%] [G loss: 0.917720]\n",
            "2464 [D loss: 0.652240, acc.: 57.81%] [G loss: 0.889365]\n",
            "2465 [D loss: 0.622080, acc.: 60.94%] [G loss: 1.000710]\n",
            "2466 [D loss: 0.619934, acc.: 57.81%] [G loss: 0.992503]\n",
            "2467 [D loss: 0.647563, acc.: 57.81%] [G loss: 0.919768]\n",
            "2468 [D loss: 0.636355, acc.: 67.19%] [G loss: 0.932524]\n",
            "2469 [D loss: 0.617532, acc.: 65.62%] [G loss: 0.927716]\n",
            "2470 [D loss: 0.560502, acc.: 68.75%] [G loss: 0.981890]\n",
            "2471 [D loss: 0.603875, acc.: 76.56%] [G loss: 0.949155]\n",
            "2472 [D loss: 0.631538, acc.: 56.25%] [G loss: 0.951846]\n",
            "2473 [D loss: 0.693120, acc.: 54.69%] [G loss: 0.876976]\n",
            "2474 [D loss: 0.633686, acc.: 60.94%] [G loss: 0.922410]\n",
            "2475 [D loss: 0.597959, acc.: 68.75%] [G loss: 0.921584]\n",
            "2476 [D loss: 0.634022, acc.: 67.19%] [G loss: 0.950573]\n",
            "2477 [D loss: 0.563509, acc.: 67.19%] [G loss: 1.016026]\n",
            "2478 [D loss: 0.639494, acc.: 62.50%] [G loss: 0.990691]\n",
            "2479 [D loss: 0.685740, acc.: 59.38%] [G loss: 0.874223]\n",
            "2480 [D loss: 0.650276, acc.: 59.38%] [G loss: 0.881868]\n",
            "2481 [D loss: 0.647923, acc.: 59.38%] [G loss: 0.856243]\n",
            "2482 [D loss: 0.604081, acc.: 62.50%] [G loss: 0.891280]\n",
            "2483 [D loss: 0.614482, acc.: 60.94%] [G loss: 0.915458]\n",
            "2484 [D loss: 0.692252, acc.: 59.38%] [G loss: 0.940617]\n",
            "2485 [D loss: 0.622250, acc.: 60.94%] [G loss: 0.881880]\n",
            "2486 [D loss: 0.595444, acc.: 73.44%] [G loss: 0.891114]\n",
            "2487 [D loss: 0.628381, acc.: 64.06%] [G loss: 0.899496]\n",
            "2488 [D loss: 0.626258, acc.: 65.62%] [G loss: 0.978133]\n",
            "2489 [D loss: 0.629503, acc.: 60.94%] [G loss: 1.044645]\n",
            "2490 [D loss: 0.593256, acc.: 68.75%] [G loss: 0.926075]\n",
            "2491 [D loss: 0.684542, acc.: 59.38%] [G loss: 0.933716]\n",
            "2492 [D loss: 0.625296, acc.: 67.19%] [G loss: 0.946452]\n",
            "2493 [D loss: 0.597984, acc.: 73.44%] [G loss: 1.051644]\n",
            "2494 [D loss: 0.583927, acc.: 67.19%] [G loss: 1.014017]\n",
            "2495 [D loss: 0.652395, acc.: 56.25%] [G loss: 0.940810]\n",
            "2496 [D loss: 0.679201, acc.: 56.25%] [G loss: 0.830922]\n",
            "2497 [D loss: 0.595228, acc.: 67.19%] [G loss: 0.903333]\n",
            "2498 [D loss: 0.656273, acc.: 60.94%] [G loss: 0.926239]\n",
            "2499 [D loss: 0.652477, acc.: 57.81%] [G loss: 0.893802]\n",
            "2500 [D loss: 0.624486, acc.: 71.88%] [G loss: 0.882452]\n",
            "2501 [D loss: 0.679958, acc.: 59.38%] [G loss: 0.834033]\n",
            "2502 [D loss: 0.648150, acc.: 65.62%] [G loss: 0.850046]\n",
            "2503 [D loss: 0.633366, acc.: 62.50%] [G loss: 0.879585]\n",
            "2504 [D loss: 0.648061, acc.: 60.94%] [G loss: 0.892169]\n",
            "2505 [D loss: 0.605201, acc.: 70.31%] [G loss: 0.825975]\n",
            "2506 [D loss: 0.664064, acc.: 60.94%] [G loss: 0.897556]\n",
            "2507 [D loss: 0.656956, acc.: 54.69%] [G loss: 0.927883]\n",
            "2508 [D loss: 0.610130, acc.: 67.19%] [G loss: 0.833064]\n",
            "2509 [D loss: 0.577125, acc.: 70.31%] [G loss: 0.903701]\n",
            "2510 [D loss: 0.629901, acc.: 64.06%] [G loss: 0.910697]\n",
            "2511 [D loss: 0.576055, acc.: 68.75%] [G loss: 0.934394]\n",
            "2512 [D loss: 0.597310, acc.: 65.62%] [G loss: 0.955704]\n",
            "2513 [D loss: 0.631081, acc.: 67.19%] [G loss: 0.927662]\n",
            "2514 [D loss: 0.584388, acc.: 68.75%] [G loss: 0.952592]\n",
            "2515 [D loss: 0.643687, acc.: 56.25%] [G loss: 1.035774]\n",
            "2516 [D loss: 0.674249, acc.: 54.69%] [G loss: 0.965738]\n",
            "2517 [D loss: 0.629781, acc.: 68.75%] [G loss: 0.923835]\n",
            "2518 [D loss: 0.637073, acc.: 64.06%] [G loss: 0.944187]\n",
            "2519 [D loss: 0.702863, acc.: 51.56%] [G loss: 0.870774]\n",
            "2520 [D loss: 0.672292, acc.: 54.69%] [G loss: 0.837511]\n",
            "2521 [D loss: 0.711281, acc.: 48.44%] [G loss: 0.873306]\n",
            "2522 [D loss: 0.665868, acc.: 60.94%] [G loss: 0.932444]\n",
            "2523 [D loss: 0.632545, acc.: 68.75%] [G loss: 0.927196]\n",
            "2524 [D loss: 0.685609, acc.: 56.25%] [G loss: 0.994497]\n",
            "2525 [D loss: 0.581874, acc.: 73.44%] [G loss: 0.992652]\n",
            "2526 [D loss: 0.649297, acc.: 67.19%] [G loss: 0.875417]\n",
            "2527 [D loss: 0.614638, acc.: 62.50%] [G loss: 0.903375]\n",
            "2528 [D loss: 0.669882, acc.: 64.06%] [G loss: 0.947211]\n",
            "2529 [D loss: 0.625702, acc.: 70.31%] [G loss: 0.928098]\n",
            "2530 [D loss: 0.625591, acc.: 70.31%] [G loss: 0.906032]\n",
            "2531 [D loss: 0.623045, acc.: 70.31%] [G loss: 0.952546]\n",
            "2532 [D loss: 0.626376, acc.: 64.06%] [G loss: 0.928492]\n",
            "2533 [D loss: 0.722614, acc.: 50.00%] [G loss: 0.888845]\n",
            "2534 [D loss: 0.615502, acc.: 67.19%] [G loss: 0.891293]\n",
            "2535 [D loss: 0.652308, acc.: 60.94%] [G loss: 0.883632]\n",
            "2536 [D loss: 0.649939, acc.: 65.62%] [G loss: 0.914045]\n",
            "2537 [D loss: 0.642004, acc.: 59.38%] [G loss: 0.962570]\n",
            "2538 [D loss: 0.662779, acc.: 62.50%] [G loss: 0.908004]\n",
            "2539 [D loss: 0.636639, acc.: 68.75%] [G loss: 0.911542]\n",
            "2540 [D loss: 0.609296, acc.: 60.94%] [G loss: 0.992300]\n",
            "2541 [D loss: 0.580314, acc.: 68.75%] [G loss: 1.008381]\n",
            "2542 [D loss: 0.692171, acc.: 56.25%] [G loss: 0.964670]\n",
            "2543 [D loss: 0.651115, acc.: 62.50%] [G loss: 0.981951]\n",
            "2544 [D loss: 0.654009, acc.: 65.62%] [G loss: 0.912145]\n",
            "2545 [D loss: 0.664343, acc.: 62.50%] [G loss: 0.906561]\n",
            "2546 [D loss: 0.638712, acc.: 64.06%] [G loss: 0.943839]\n",
            "2547 [D loss: 0.661157, acc.: 59.38%] [G loss: 0.860387]\n",
            "2548 [D loss: 0.592123, acc.: 71.88%] [G loss: 0.946208]\n",
            "2549 [D loss: 0.568338, acc.: 75.00%] [G loss: 0.875533]\n",
            "2550 [D loss: 0.665516, acc.: 59.38%] [G loss: 0.859263]\n",
            "2551 [D loss: 0.589473, acc.: 70.31%] [G loss: 0.869485]\n",
            "2552 [D loss: 0.638894, acc.: 54.69%] [G loss: 0.915917]\n",
            "2553 [D loss: 0.730023, acc.: 51.56%] [G loss: 0.981987]\n",
            "2554 [D loss: 0.676570, acc.: 59.38%] [G loss: 0.933506]\n",
            "2555 [D loss: 0.633545, acc.: 62.50%] [G loss: 0.926769]\n",
            "2556 [D loss: 0.567815, acc.: 71.88%] [G loss: 0.885466]\n",
            "2557 [D loss: 0.562588, acc.: 78.12%] [G loss: 0.999673]\n",
            "2558 [D loss: 0.605744, acc.: 71.88%] [G loss: 0.950731]\n",
            "2559 [D loss: 0.578948, acc.: 71.88%] [G loss: 0.933012]\n",
            "2560 [D loss: 0.637683, acc.: 62.50%] [G loss: 0.910839]\n",
            "2561 [D loss: 0.594290, acc.: 65.62%] [G loss: 1.017729]\n",
            "2562 [D loss: 0.641475, acc.: 59.38%] [G loss: 0.950769]\n",
            "2563 [D loss: 0.634385, acc.: 68.75%] [G loss: 0.906588]\n",
            "2564 [D loss: 0.641402, acc.: 59.38%] [G loss: 0.918339]\n",
            "2565 [D loss: 0.607685, acc.: 60.94%] [G loss: 1.001413]\n",
            "2566 [D loss: 0.622642, acc.: 57.81%] [G loss: 0.918828]\n",
            "2567 [D loss: 0.661231, acc.: 62.50%] [G loss: 0.895867]\n",
            "2568 [D loss: 0.642347, acc.: 60.94%] [G loss: 0.898565]\n",
            "2569 [D loss: 0.656094, acc.: 62.50%] [G loss: 0.906385]\n",
            "2570 [D loss: 0.692233, acc.: 53.12%] [G loss: 0.859801]\n",
            "2571 [D loss: 0.642358, acc.: 60.94%] [G loss: 0.855339]\n",
            "2572 [D loss: 0.595966, acc.: 64.06%] [G loss: 0.779379]\n",
            "2573 [D loss: 0.736838, acc.: 56.25%] [G loss: 0.917888]\n",
            "2574 [D loss: 0.586035, acc.: 73.44%] [G loss: 1.012412]\n",
            "2575 [D loss: 0.582402, acc.: 73.44%] [G loss: 0.960190]\n",
            "2576 [D loss: 0.650185, acc.: 65.62%] [G loss: 0.939272]\n",
            "2577 [D loss: 0.572316, acc.: 71.88%] [G loss: 0.972432]\n",
            "2578 [D loss: 0.657107, acc.: 59.38%] [G loss: 0.893094]\n",
            "2579 [D loss: 0.601926, acc.: 67.19%] [G loss: 0.920659]\n",
            "2580 [D loss: 0.633927, acc.: 65.62%] [G loss: 0.964436]\n",
            "2581 [D loss: 0.616401, acc.: 65.62%] [G loss: 1.038153]\n",
            "2582 [D loss: 0.650415, acc.: 67.19%] [G loss: 0.917898]\n",
            "2583 [D loss: 0.712990, acc.: 57.81%] [G loss: 0.950546]\n",
            "2584 [D loss: 0.726166, acc.: 53.12%] [G loss: 0.887981]\n",
            "2585 [D loss: 0.590852, acc.: 68.75%] [G loss: 0.933846]\n",
            "2586 [D loss: 0.664069, acc.: 64.06%] [G loss: 0.906880]\n",
            "2587 [D loss: 0.638597, acc.: 68.75%] [G loss: 0.961602]\n",
            "2588 [D loss: 0.700340, acc.: 59.38%] [G loss: 0.922617]\n",
            "2589 [D loss: 0.646914, acc.: 67.19%] [G loss: 0.990381]\n",
            "2590 [D loss: 0.613857, acc.: 68.75%] [G loss: 0.928735]\n",
            "2591 [D loss: 0.621639, acc.: 59.38%] [G loss: 0.922959]\n",
            "2592 [D loss: 0.620004, acc.: 65.62%] [G loss: 0.833453]\n",
            "2593 [D loss: 0.613035, acc.: 64.06%] [G loss: 0.849462]\n",
            "2594 [D loss: 0.595346, acc.: 70.31%] [G loss: 0.928880]\n",
            "2595 [D loss: 0.615625, acc.: 78.12%] [G loss: 0.932714]\n",
            "2596 [D loss: 0.656640, acc.: 54.69%] [G loss: 0.908758]\n",
            "2597 [D loss: 0.563919, acc.: 67.19%] [G loss: 0.926248]\n",
            "2598 [D loss: 0.663847, acc.: 59.38%] [G loss: 0.896254]\n",
            "2599 [D loss: 0.634598, acc.: 65.62%] [G loss: 0.995028]\n",
            "2600 [D loss: 0.638611, acc.: 70.31%] [G loss: 0.918430]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRBRosRNCRIEWOyFEFPwfKHWfpeciKqUAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "2601 [D loss: 0.669291, acc.: 53.12%] [G loss: 0.814265]\n",
            "2602 [D loss: 0.678323, acc.: 53.12%] [G loss: 0.739040]\n",
            "2603 [D loss: 0.614249, acc.: 57.81%] [G loss: 0.968370]\n",
            "2604 [D loss: 0.570772, acc.: 70.31%] [G loss: 0.934658]\n",
            "2605 [D loss: 0.660543, acc.: 65.62%] [G loss: 0.882051]\n",
            "2606 [D loss: 0.647246, acc.: 60.94%] [G loss: 0.897127]\n",
            "2607 [D loss: 0.638709, acc.: 67.19%] [G loss: 0.895149]\n",
            "2608 [D loss: 0.674277, acc.: 57.81%] [G loss: 0.915450]\n",
            "2609 [D loss: 0.678519, acc.: 59.38%] [G loss: 0.860889]\n",
            "2610 [D loss: 0.644869, acc.: 64.06%] [G loss: 0.987675]\n",
            "2611 [D loss: 0.634543, acc.: 67.19%] [G loss: 0.801425]\n",
            "2612 [D loss: 0.650679, acc.: 62.50%] [G loss: 0.833983]\n",
            "2613 [D loss: 0.602718, acc.: 73.44%] [G loss: 0.803033]\n",
            "2614 [D loss: 0.631661, acc.: 67.19%] [G loss: 0.895815]\n",
            "2615 [D loss: 0.624567, acc.: 65.62%] [G loss: 0.888940]\n",
            "2616 [D loss: 0.614521, acc.: 60.94%] [G loss: 0.919853]\n",
            "2617 [D loss: 0.585436, acc.: 70.31%] [G loss: 0.887574]\n",
            "2618 [D loss: 0.736892, acc.: 51.56%] [G loss: 0.958270]\n",
            "2619 [D loss: 0.636839, acc.: 56.25%] [G loss: 0.925953]\n",
            "2620 [D loss: 0.629845, acc.: 64.06%] [G loss: 0.987051]\n",
            "2621 [D loss: 0.579289, acc.: 75.00%] [G loss: 1.007350]\n",
            "2622 [D loss: 0.615385, acc.: 65.62%] [G loss: 0.976627]\n",
            "2623 [D loss: 0.679368, acc.: 56.25%] [G loss: 0.889068]\n",
            "2624 [D loss: 0.691978, acc.: 60.94%] [G loss: 0.841368]\n",
            "2625 [D loss: 0.610514, acc.: 60.94%] [G loss: 0.898055]\n",
            "2626 [D loss: 0.701631, acc.: 48.44%] [G loss: 0.881099]\n",
            "2627 [D loss: 0.653633, acc.: 54.69%] [G loss: 0.895053]\n",
            "2628 [D loss: 0.591516, acc.: 75.00%] [G loss: 0.942750]\n",
            "2629 [D loss: 0.565396, acc.: 75.00%] [G loss: 0.939687]\n",
            "2630 [D loss: 0.660607, acc.: 65.62%] [G loss: 0.885315]\n",
            "2631 [D loss: 0.655291, acc.: 60.94%] [G loss: 0.891491]\n",
            "2632 [D loss: 0.613498, acc.: 62.50%] [G loss: 0.851924]\n",
            "2633 [D loss: 0.641411, acc.: 59.38%] [G loss: 0.906499]\n",
            "2634 [D loss: 0.682446, acc.: 57.81%] [G loss: 0.883623]\n",
            "2635 [D loss: 0.665567, acc.: 56.25%] [G loss: 0.894803]\n",
            "2636 [D loss: 0.638768, acc.: 65.62%] [G loss: 0.846533]\n",
            "2637 [D loss: 0.610699, acc.: 67.19%] [G loss: 0.909539]\n",
            "2638 [D loss: 0.688139, acc.: 57.81%] [G loss: 0.880119]\n",
            "2639 [D loss: 0.651215, acc.: 59.38%] [G loss: 0.843103]\n",
            "2640 [D loss: 0.639950, acc.: 71.88%] [G loss: 0.857716]\n",
            "2641 [D loss: 0.689897, acc.: 56.25%] [G loss: 0.898793]\n",
            "2642 [D loss: 0.667451, acc.: 59.38%] [G loss: 0.919619]\n",
            "2643 [D loss: 0.626644, acc.: 64.06%] [G loss: 0.921907]\n",
            "2644 [D loss: 0.641118, acc.: 64.06%] [G loss: 0.929485]\n",
            "2645 [D loss: 0.661350, acc.: 56.25%] [G loss: 0.898466]\n",
            "2646 [D loss: 0.611896, acc.: 68.75%] [G loss: 0.887579]\n",
            "2647 [D loss: 0.579600, acc.: 71.88%] [G loss: 0.913571]\n",
            "2648 [D loss: 0.683875, acc.: 53.12%] [G loss: 0.981419]\n",
            "2649 [D loss: 0.608462, acc.: 65.62%] [G loss: 0.961563]\n",
            "2650 [D loss: 0.561853, acc.: 70.31%] [G loss: 0.967274]\n",
            "2651 [D loss: 0.701625, acc.: 51.56%] [G loss: 0.890948]\n",
            "2652 [D loss: 0.680783, acc.: 57.81%] [G loss: 0.860289]\n",
            "2653 [D loss: 0.685279, acc.: 62.50%] [G loss: 0.834614]\n",
            "2654 [D loss: 0.605261, acc.: 73.44%] [G loss: 0.830073]\n",
            "2655 [D loss: 0.679665, acc.: 46.88%] [G loss: 0.892725]\n",
            "2656 [D loss: 0.596936, acc.: 67.19%] [G loss: 0.852974]\n",
            "2657 [D loss: 0.656599, acc.: 59.38%] [G loss: 0.964345]\n",
            "2658 [D loss: 0.640749, acc.: 67.19%] [G loss: 0.923249]\n",
            "2659 [D loss: 0.670447, acc.: 60.94%] [G loss: 0.895892]\n",
            "2660 [D loss: 0.640296, acc.: 59.38%] [G loss: 0.899414]\n",
            "2661 [D loss: 0.622948, acc.: 62.50%] [G loss: 0.873351]\n",
            "2662 [D loss: 0.626808, acc.: 67.19%] [G loss: 0.878387]\n",
            "2663 [D loss: 0.643601, acc.: 60.94%] [G loss: 0.882365]\n",
            "2664 [D loss: 0.591733, acc.: 67.19%] [G loss: 0.969289]\n",
            "2665 [D loss: 0.614240, acc.: 64.06%] [G loss: 1.018678]\n",
            "2666 [D loss: 0.657125, acc.: 56.25%] [G loss: 0.784843]\n",
            "2667 [D loss: 0.669374, acc.: 60.94%] [G loss: 0.860391]\n",
            "2668 [D loss: 0.642064, acc.: 73.44%] [G loss: 0.927855]\n",
            "2669 [D loss: 0.689930, acc.: 50.00%] [G loss: 0.863298]\n",
            "2670 [D loss: 0.671343, acc.: 62.50%] [G loss: 0.883838]\n",
            "2671 [D loss: 0.641489, acc.: 56.25%] [G loss: 0.940788]\n",
            "2672 [D loss: 0.607089, acc.: 68.75%] [G loss: 1.021014]\n",
            "2673 [D loss: 0.600190, acc.: 70.31%] [G loss: 0.942611]\n",
            "2674 [D loss: 0.755763, acc.: 43.75%] [G loss: 1.014566]\n",
            "2675 [D loss: 0.596442, acc.: 68.75%] [G loss: 0.937907]\n",
            "2676 [D loss: 0.614380, acc.: 67.19%] [G loss: 0.914420]\n",
            "2677 [D loss: 0.610298, acc.: 68.75%] [G loss: 0.975736]\n",
            "2678 [D loss: 0.656623, acc.: 57.81%] [G loss: 0.859697]\n",
            "2679 [D loss: 0.681324, acc.: 46.88%] [G loss: 0.971764]\n",
            "2680 [D loss: 0.595623, acc.: 71.88%] [G loss: 0.900998]\n",
            "2681 [D loss: 0.624278, acc.: 70.31%] [G loss: 0.943166]\n",
            "2682 [D loss: 0.714161, acc.: 53.12%] [G loss: 0.889551]\n",
            "2683 [D loss: 0.597437, acc.: 64.06%] [G loss: 0.915013]\n",
            "2684 [D loss: 0.649091, acc.: 62.50%] [G loss: 0.990096]\n",
            "2685 [D loss: 0.608698, acc.: 65.62%] [G loss: 0.857420]\n",
            "2686 [D loss: 0.639311, acc.: 64.06%] [G loss: 0.880195]\n",
            "2687 [D loss: 0.618284, acc.: 65.62%] [G loss: 0.889748]\n",
            "2688 [D loss: 0.685733, acc.: 50.00%] [G loss: 0.907804]\n",
            "2689 [D loss: 0.624119, acc.: 70.31%] [G loss: 0.954206]\n",
            "2690 [D loss: 0.724174, acc.: 54.69%] [G loss: 0.930977]\n",
            "2691 [D loss: 0.651459, acc.: 57.81%] [G loss: 0.961036]\n",
            "2692 [D loss: 0.655062, acc.: 60.94%] [G loss: 0.849342]\n",
            "2693 [D loss: 0.606113, acc.: 70.31%] [G loss: 0.956874]\n",
            "2694 [D loss: 0.622127, acc.: 60.94%] [G loss: 0.893118]\n",
            "2695 [D loss: 0.677795, acc.: 50.00%] [G loss: 0.962436]\n",
            "2696 [D loss: 0.625801, acc.: 62.50%] [G loss: 0.948799]\n",
            "2697 [D loss: 0.630785, acc.: 64.06%] [G loss: 0.976359]\n",
            "2698 [D loss: 0.700429, acc.: 53.12%] [G loss: 0.920109]\n",
            "2699 [D loss: 0.637187, acc.: 60.94%] [G loss: 0.917755]\n",
            "2700 [D loss: 0.629040, acc.: 68.75%] [G loss: 0.885359]\n",
            "2701 [D loss: 0.631084, acc.: 59.38%] [G loss: 0.891770]\n",
            "2702 [D loss: 0.625012, acc.: 67.19%] [G loss: 0.888838]\n",
            "2703 [D loss: 0.598899, acc.: 75.00%] [G loss: 0.948417]\n",
            "2704 [D loss: 0.692792, acc.: 51.56%] [G loss: 0.912051]\n",
            "2705 [D loss: 0.656457, acc.: 59.38%] [G loss: 0.922896]\n",
            "2706 [D loss: 0.615144, acc.: 67.19%] [G loss: 0.818869]\n",
            "2707 [D loss: 0.637358, acc.: 64.06%] [G loss: 0.841172]\n",
            "2708 [D loss: 0.621545, acc.: 67.19%] [G loss: 0.870984]\n",
            "2709 [D loss: 0.662106, acc.: 56.25%] [G loss: 0.844273]\n",
            "2710 [D loss: 0.675737, acc.: 62.50%] [G loss: 0.835487]\n",
            "2711 [D loss: 0.582213, acc.: 73.44%] [G loss: 0.913977]\n",
            "2712 [D loss: 0.688777, acc.: 53.12%] [G loss: 0.916939]\n",
            "2713 [D loss: 0.626105, acc.: 67.19%] [G loss: 0.934995]\n",
            "2714 [D loss: 0.620562, acc.: 65.62%] [G loss: 0.896415]\n",
            "2715 [D loss: 0.701325, acc.: 50.00%] [G loss: 0.876360]\n",
            "2716 [D loss: 0.635203, acc.: 57.81%] [G loss: 0.871657]\n",
            "2717 [D loss: 0.625539, acc.: 60.94%] [G loss: 0.852790]\n",
            "2718 [D loss: 0.598230, acc.: 65.62%] [G loss: 0.895023]\n",
            "2719 [D loss: 0.647876, acc.: 62.50%] [G loss: 0.820072]\n",
            "2720 [D loss: 0.701035, acc.: 56.25%] [G loss: 0.980464]\n",
            "2721 [D loss: 0.660107, acc.: 65.62%] [G loss: 0.961476]\n",
            "2722 [D loss: 0.635794, acc.: 65.62%] [G loss: 0.925679]\n",
            "2723 [D loss: 0.595405, acc.: 71.88%] [G loss: 0.858434]\n",
            "2724 [D loss: 0.634930, acc.: 65.62%] [G loss: 0.881567]\n",
            "2725 [D loss: 0.674631, acc.: 59.38%] [G loss: 0.828103]\n",
            "2726 [D loss: 0.656372, acc.: 56.25%] [G loss: 0.879147]\n",
            "2727 [D loss: 0.616155, acc.: 65.62%] [G loss: 0.856127]\n",
            "2728 [D loss: 0.696341, acc.: 46.88%] [G loss: 0.923188]\n",
            "2729 [D loss: 0.598851, acc.: 67.19%] [G loss: 0.905746]\n",
            "2730 [D loss: 0.629146, acc.: 68.75%] [G loss: 0.948438]\n",
            "2731 [D loss: 0.697269, acc.: 57.81%] [G loss: 0.996108]\n",
            "2732 [D loss: 0.688485, acc.: 48.44%] [G loss: 0.876073]\n",
            "2733 [D loss: 0.683112, acc.: 57.81%] [G loss: 0.948511]\n",
            "2734 [D loss: 0.623629, acc.: 62.50%] [G loss: 0.976291]\n",
            "2735 [D loss: 0.675258, acc.: 54.69%] [G loss: 0.924454]\n",
            "2736 [D loss: 0.641178, acc.: 64.06%] [G loss: 0.931672]\n",
            "2737 [D loss: 0.643188, acc.: 59.38%] [G loss: 0.830435]\n",
            "2738 [D loss: 0.659988, acc.: 60.94%] [G loss: 0.842331]\n",
            "2739 [D loss: 0.647713, acc.: 60.94%] [G loss: 0.835824]\n",
            "2740 [D loss: 0.660868, acc.: 56.25%] [G loss: 0.848788]\n",
            "2741 [D loss: 0.596330, acc.: 68.75%] [G loss: 0.871290]\n",
            "2742 [D loss: 0.634867, acc.: 59.38%] [G loss: 0.876444]\n",
            "2743 [D loss: 0.704128, acc.: 48.44%] [G loss: 0.977255]\n",
            "2744 [D loss: 0.667126, acc.: 60.94%] [G loss: 0.846257]\n",
            "2745 [D loss: 0.610247, acc.: 59.38%] [G loss: 0.884958]\n",
            "2746 [D loss: 0.623936, acc.: 68.75%] [G loss: 0.963191]\n",
            "2747 [D loss: 0.685659, acc.: 54.69%] [G loss: 0.923215]\n",
            "2748 [D loss: 0.681356, acc.: 60.94%] [G loss: 0.917585]\n",
            "2749 [D loss: 0.708621, acc.: 56.25%] [G loss: 0.899375]\n",
            "2750 [D loss: 0.585198, acc.: 65.62%] [G loss: 0.930043]\n",
            "2751 [D loss: 0.689456, acc.: 51.56%] [G loss: 0.926469]\n",
            "2752 [D loss: 0.658913, acc.: 56.25%] [G loss: 0.930707]\n",
            "2753 [D loss: 0.685660, acc.: 59.38%] [G loss: 0.821761]\n",
            "2754 [D loss: 0.710222, acc.: 64.06%] [G loss: 0.776820]\n",
            "2755 [D loss: 0.667583, acc.: 59.38%] [G loss: 0.869612]\n",
            "2756 [D loss: 0.645546, acc.: 60.94%] [G loss: 0.845563]\n",
            "2757 [D loss: 0.623222, acc.: 65.62%] [G loss: 0.872137]\n",
            "2758 [D loss: 0.619820, acc.: 62.50%] [G loss: 0.925951]\n",
            "2759 [D loss: 0.631395, acc.: 68.75%] [G loss: 0.896805]\n",
            "2760 [D loss: 0.641513, acc.: 64.06%] [G loss: 0.897404]\n",
            "2761 [D loss: 0.672480, acc.: 59.38%] [G loss: 0.920625]\n",
            "2762 [D loss: 0.588277, acc.: 73.44%] [G loss: 0.932989]\n",
            "2763 [D loss: 0.685442, acc.: 64.06%] [G loss: 0.903443]\n",
            "2764 [D loss: 0.691398, acc.: 51.56%] [G loss: 0.921427]\n",
            "2765 [D loss: 0.575793, acc.: 76.56%] [G loss: 0.892424]\n",
            "2766 [D loss: 0.636795, acc.: 57.81%] [G loss: 0.828890]\n",
            "2767 [D loss: 0.641440, acc.: 70.31%] [G loss: 0.837732]\n",
            "2768 [D loss: 0.664032, acc.: 56.25%] [G loss: 0.769689]\n",
            "2769 [D loss: 0.657589, acc.: 59.38%] [G loss: 0.914172]\n",
            "2770 [D loss: 0.685729, acc.: 62.50%] [G loss: 0.859379]\n",
            "2771 [D loss: 0.647260, acc.: 62.50%] [G loss: 0.973738]\n",
            "2772 [D loss: 0.632800, acc.: 71.88%] [G loss: 0.851380]\n",
            "2773 [D loss: 0.652337, acc.: 64.06%] [G loss: 0.885212]\n",
            "2774 [D loss: 0.611851, acc.: 71.88%] [G loss: 0.879771]\n",
            "2775 [D loss: 0.646095, acc.: 57.81%] [G loss: 0.869289]\n",
            "2776 [D loss: 0.593174, acc.: 68.75%] [G loss: 0.786782]\n",
            "2777 [D loss: 0.584810, acc.: 71.88%] [G loss: 0.932095]\n",
            "2778 [D loss: 0.608993, acc.: 65.62%] [G loss: 0.868644]\n",
            "2779 [D loss: 0.557130, acc.: 73.44%] [G loss: 0.877903]\n",
            "2780 [D loss: 0.657116, acc.: 64.06%] [G loss: 0.808261]\n",
            "2781 [D loss: 0.750084, acc.: 51.56%] [G loss: 0.986908]\n",
            "2782 [D loss: 0.615667, acc.: 65.62%] [G loss: 0.919613]\n",
            "2783 [D loss: 0.633091, acc.: 65.62%] [G loss: 0.976487]\n",
            "2784 [D loss: 0.592021, acc.: 73.44%] [G loss: 0.899438]\n",
            "2785 [D loss: 0.675191, acc.: 53.12%] [G loss: 0.813419]\n",
            "2786 [D loss: 0.614372, acc.: 65.62%] [G loss: 0.865519]\n",
            "2787 [D loss: 0.587617, acc.: 67.19%] [G loss: 0.861316]\n",
            "2788 [D loss: 0.675968, acc.: 48.44%] [G loss: 0.807885]\n",
            "2789 [D loss: 0.741231, acc.: 48.44%] [G loss: 0.819523]\n",
            "2790 [D loss: 0.673223, acc.: 62.50%] [G loss: 0.870639]\n",
            "2791 [D loss: 0.616665, acc.: 62.50%] [G loss: 0.812570]\n",
            "2792 [D loss: 0.661781, acc.: 56.25%] [G loss: 0.849580]\n",
            "2793 [D loss: 0.609290, acc.: 68.75%] [G loss: 0.884540]\n",
            "2794 [D loss: 0.630754, acc.: 64.06%] [G loss: 0.828087]\n",
            "2795 [D loss: 0.594710, acc.: 65.62%] [G loss: 0.961983]\n",
            "2796 [D loss: 0.722652, acc.: 46.88%] [G loss: 0.906809]\n",
            "2797 [D loss: 0.725561, acc.: 51.56%] [G loss: 0.871105]\n",
            "2798 [D loss: 0.637333, acc.: 64.06%] [G loss: 0.862277]\n",
            "2799 [D loss: 0.566756, acc.: 73.44%] [G loss: 0.959221]\n",
            "2800 [D loss: 0.680648, acc.: 59.38%] [G loss: 0.860929]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "2801 [D loss: 0.691770, acc.: 57.81%] [G loss: 0.926886]\n",
            "2802 [D loss: 0.635121, acc.: 70.31%] [G loss: 0.915399]\n",
            "2803 [D loss: 0.663380, acc.: 67.19%] [G loss: 0.915190]\n",
            "2804 [D loss: 0.636173, acc.: 59.38%] [G loss: 0.939613]\n",
            "2805 [D loss: 0.632681, acc.: 68.75%] [G loss: 0.926402]\n",
            "2806 [D loss: 0.596318, acc.: 67.19%] [G loss: 0.909225]\n",
            "2807 [D loss: 0.716097, acc.: 57.81%] [G loss: 0.911377]\n",
            "2808 [D loss: 0.690050, acc.: 59.38%] [G loss: 0.896644]\n",
            "2809 [D loss: 0.607908, acc.: 67.19%] [G loss: 0.920150]\n",
            "2810 [D loss: 0.614440, acc.: 59.38%] [G loss: 0.870937]\n",
            "2811 [D loss: 0.696275, acc.: 57.81%] [G loss: 0.941694]\n",
            "2812 [D loss: 0.664791, acc.: 60.94%] [G loss: 0.857827]\n",
            "2813 [D loss: 0.692257, acc.: 59.38%] [G loss: 0.822940]\n",
            "2814 [D loss: 0.599132, acc.: 70.31%] [G loss: 0.886996]\n",
            "2815 [D loss: 0.682381, acc.: 64.06%] [G loss: 0.887265]\n",
            "2816 [D loss: 0.666112, acc.: 60.94%] [G loss: 0.895458]\n",
            "2817 [D loss: 0.674458, acc.: 59.38%] [G loss: 0.867948]\n",
            "2818 [D loss: 0.620885, acc.: 62.50%] [G loss: 0.892412]\n",
            "2819 [D loss: 0.564011, acc.: 71.88%] [G loss: 0.944027]\n",
            "2820 [D loss: 0.710434, acc.: 57.81%] [G loss: 0.846995]\n",
            "2821 [D loss: 0.613624, acc.: 64.06%] [G loss: 0.889523]\n",
            "2822 [D loss: 0.667313, acc.: 57.81%] [G loss: 0.860743]\n",
            "2823 [D loss: 0.631729, acc.: 62.50%] [G loss: 0.929775]\n",
            "2824 [D loss: 0.686239, acc.: 56.25%] [G loss: 0.902917]\n",
            "2825 [D loss: 0.701667, acc.: 56.25%] [G loss: 0.882322]\n",
            "2826 [D loss: 0.651455, acc.: 59.38%] [G loss: 0.889218]\n",
            "2827 [D loss: 0.729857, acc.: 46.88%] [G loss: 0.965861]\n",
            "2828 [D loss: 0.625684, acc.: 64.06%] [G loss: 0.957837]\n",
            "2829 [D loss: 0.732875, acc.: 43.75%] [G loss: 0.932528]\n",
            "2830 [D loss: 0.626283, acc.: 65.62%] [G loss: 0.884153]\n",
            "2831 [D loss: 0.673118, acc.: 57.81%] [G loss: 0.890586]\n",
            "2832 [D loss: 0.611396, acc.: 70.31%] [G loss: 0.865001]\n",
            "2833 [D loss: 0.695942, acc.: 51.56%] [G loss: 0.833128]\n",
            "2834 [D loss: 0.636319, acc.: 65.62%] [G loss: 0.845926]\n",
            "2835 [D loss: 0.668483, acc.: 57.81%] [G loss: 0.897660]\n",
            "2836 [D loss: 0.682965, acc.: 54.69%] [G loss: 0.902546]\n",
            "2837 [D loss: 0.621023, acc.: 75.00%] [G loss: 0.948692]\n",
            "2838 [D loss: 0.675651, acc.: 50.00%] [G loss: 0.785531]\n",
            "2839 [D loss: 0.686744, acc.: 56.25%] [G loss: 0.830945]\n",
            "2840 [D loss: 0.664783, acc.: 51.56%] [G loss: 0.860419]\n",
            "2841 [D loss: 0.643166, acc.: 64.06%] [G loss: 0.888791]\n",
            "2842 [D loss: 0.653509, acc.: 60.94%] [G loss: 0.921114]\n",
            "2843 [D loss: 0.593585, acc.: 67.19%] [G loss: 0.918995]\n",
            "2844 [D loss: 0.584859, acc.: 70.31%] [G loss: 0.920711]\n",
            "2845 [D loss: 0.671739, acc.: 59.38%] [G loss: 0.872506]\n",
            "2846 [D loss: 0.684027, acc.: 59.38%] [G loss: 0.873967]\n",
            "2847 [D loss: 0.670795, acc.: 60.94%] [G loss: 0.901953]\n",
            "2848 [D loss: 0.639497, acc.: 65.62%] [G loss: 0.887747]\n",
            "2849 [D loss: 0.641631, acc.: 62.50%] [G loss: 0.901860]\n",
            "2850 [D loss: 0.647241, acc.: 67.19%] [G loss: 0.886312]\n",
            "2851 [D loss: 0.638590, acc.: 64.06%] [G loss: 0.948528]\n",
            "2852 [D loss: 0.652807, acc.: 62.50%] [G loss: 0.898392]\n",
            "2853 [D loss: 0.682761, acc.: 57.81%] [G loss: 0.870566]\n",
            "2854 [D loss: 0.663425, acc.: 59.38%] [G loss: 0.890365]\n",
            "2855 [D loss: 0.612244, acc.: 71.88%] [G loss: 0.934749]\n",
            "2856 [D loss: 0.644071, acc.: 59.38%] [G loss: 0.944122]\n",
            "2857 [D loss: 0.644362, acc.: 56.25%] [G loss: 0.933186]\n",
            "2858 [D loss: 0.586461, acc.: 73.44%] [G loss: 0.981822]\n",
            "2859 [D loss: 0.689516, acc.: 59.38%] [G loss: 0.859415]\n",
            "2860 [D loss: 0.697544, acc.: 56.25%] [G loss: 0.862986]\n",
            "2861 [D loss: 0.658217, acc.: 53.12%] [G loss: 0.969022]\n",
            "2862 [D loss: 0.592910, acc.: 71.88%] [G loss: 0.903253]\n",
            "2863 [D loss: 0.645056, acc.: 59.38%] [G loss: 0.916237]\n",
            "2864 [D loss: 0.611564, acc.: 62.50%] [G loss: 0.881172]\n",
            "2865 [D loss: 0.661192, acc.: 62.50%] [G loss: 0.934740]\n",
            "2866 [D loss: 0.650319, acc.: 60.94%] [G loss: 0.902356]\n",
            "2867 [D loss: 0.708148, acc.: 54.69%] [G loss: 0.882330]\n",
            "2868 [D loss: 0.593472, acc.: 71.88%] [G loss: 0.851028]\n",
            "2869 [D loss: 0.719480, acc.: 50.00%] [G loss: 0.883368]\n",
            "2870 [D loss: 0.663608, acc.: 51.56%] [G loss: 0.938816]\n",
            "2871 [D loss: 0.618657, acc.: 67.19%] [G loss: 0.846579]\n",
            "2872 [D loss: 0.669201, acc.: 54.69%] [G loss: 0.918896]\n",
            "2873 [D loss: 0.650824, acc.: 60.94%] [G loss: 0.892799]\n",
            "2874 [D loss: 0.664270, acc.: 56.25%] [G loss: 0.901725]\n",
            "2875 [D loss: 0.614210, acc.: 64.06%] [G loss: 0.899193]\n",
            "2876 [D loss: 0.615547, acc.: 65.62%] [G loss: 0.865456]\n",
            "2877 [D loss: 0.633068, acc.: 67.19%] [G loss: 0.859184]\n",
            "2878 [D loss: 0.642049, acc.: 67.19%] [G loss: 0.854292]\n",
            "2879 [D loss: 0.664174, acc.: 64.06%] [G loss: 0.855132]\n",
            "2880 [D loss: 0.689059, acc.: 54.69%] [G loss: 0.793740]\n",
            "2881 [D loss: 0.604406, acc.: 71.88%] [G loss: 0.970012]\n",
            "2882 [D loss: 0.651908, acc.: 59.38%] [G loss: 0.846323]\n",
            "2883 [D loss: 0.680232, acc.: 57.81%] [G loss: 0.971503]\n",
            "2884 [D loss: 0.701213, acc.: 48.44%] [G loss: 0.987137]\n",
            "2885 [D loss: 0.666504, acc.: 57.81%] [G loss: 0.893862]\n",
            "2886 [D loss: 0.616309, acc.: 62.50%] [G loss: 0.937532]\n",
            "2887 [D loss: 0.662675, acc.: 57.81%] [G loss: 0.807010]\n",
            "2888 [D loss: 0.681809, acc.: 57.81%] [G loss: 0.831502]\n",
            "2889 [D loss: 0.633321, acc.: 57.81%] [G loss: 0.878303]\n",
            "2890 [D loss: 0.675200, acc.: 62.50%] [G loss: 0.876895]\n",
            "2891 [D loss: 0.535237, acc.: 81.25%] [G loss: 0.870793]\n",
            "2892 [D loss: 0.610373, acc.: 65.62%] [G loss: 0.882116]\n",
            "2893 [D loss: 0.670831, acc.: 53.12%] [G loss: 0.902746]\n",
            "2894 [D loss: 0.666376, acc.: 59.38%] [G loss: 0.874180]\n",
            "2895 [D loss: 0.636049, acc.: 62.50%] [G loss: 0.923073]\n",
            "2896 [D loss: 0.631438, acc.: 64.06%] [G loss: 0.898857]\n",
            "2897 [D loss: 0.597234, acc.: 68.75%] [G loss: 0.825307]\n",
            "2898 [D loss: 0.662071, acc.: 60.94%] [G loss: 0.830680]\n",
            "2899 [D loss: 0.608880, acc.: 62.50%] [G loss: 0.892699]\n",
            "2900 [D loss: 0.661702, acc.: 60.94%] [G loss: 0.972410]\n",
            "2901 [D loss: 0.594071, acc.: 75.00%] [G loss: 0.860922]\n",
            "2902 [D loss: 0.597347, acc.: 65.62%] [G loss: 0.843964]\n",
            "2903 [D loss: 0.649778, acc.: 70.31%] [G loss: 0.851216]\n",
            "2904 [D loss: 0.652311, acc.: 65.62%] [G loss: 0.853320]\n",
            "2905 [D loss: 0.648673, acc.: 67.19%] [G loss: 0.828582]\n",
            "2906 [D loss: 0.635484, acc.: 67.19%] [G loss: 0.893121]\n",
            "2907 [D loss: 0.623025, acc.: 68.75%] [G loss: 0.897924]\n",
            "2908 [D loss: 0.651382, acc.: 60.94%] [G loss: 0.810709]\n",
            "2909 [D loss: 0.666682, acc.: 51.56%] [G loss: 0.902682]\n",
            "2910 [D loss: 0.665386, acc.: 59.38%] [G loss: 0.910996]\n",
            "2911 [D loss: 0.652167, acc.: 59.38%] [G loss: 0.925109]\n",
            "2912 [D loss: 0.641128, acc.: 60.94%] [G loss: 0.936465]\n",
            "2913 [D loss: 0.661144, acc.: 65.62%] [G loss: 0.894118]\n",
            "2914 [D loss: 0.584517, acc.: 68.75%] [G loss: 0.949175]\n",
            "2915 [D loss: 0.620508, acc.: 65.62%] [G loss: 0.908402]\n",
            "2916 [D loss: 0.612134, acc.: 65.62%] [G loss: 0.947186]\n",
            "2917 [D loss: 0.630742, acc.: 65.62%] [G loss: 0.940993]\n",
            "2918 [D loss: 0.592503, acc.: 64.06%] [G loss: 0.921178]\n",
            "2919 [D loss: 0.675046, acc.: 57.81%] [G loss: 0.924303]\n",
            "2920 [D loss: 0.601498, acc.: 70.31%] [G loss: 0.975583]\n",
            "2921 [D loss: 0.603544, acc.: 65.62%] [G loss: 0.980733]\n",
            "2922 [D loss: 0.683100, acc.: 60.94%] [G loss: 0.909163]\n",
            "2923 [D loss: 0.656399, acc.: 54.69%] [G loss: 0.916863]\n",
            "2924 [D loss: 0.606745, acc.: 65.62%] [G loss: 0.980338]\n",
            "2925 [D loss: 0.657421, acc.: 57.81%] [G loss: 0.899423]\n",
            "2926 [D loss: 0.673490, acc.: 54.69%] [G loss: 0.922249]\n",
            "2927 [D loss: 0.766533, acc.: 45.31%] [G loss: 0.928594]\n",
            "2928 [D loss: 0.616261, acc.: 59.38%] [G loss: 0.885928]\n",
            "2929 [D loss: 0.640244, acc.: 60.94%] [G loss: 0.890838]\n",
            "2930 [D loss: 0.668044, acc.: 57.81%] [G loss: 0.911767]\n",
            "2931 [D loss: 0.631575, acc.: 59.38%] [G loss: 0.914047]\n",
            "2932 [D loss: 0.671424, acc.: 57.81%] [G loss: 0.910423]\n",
            "2933 [D loss: 0.611658, acc.: 60.94%] [G loss: 1.019117]\n",
            "2934 [D loss: 0.612094, acc.: 64.06%] [G loss: 0.936806]\n",
            "2935 [D loss: 0.665859, acc.: 56.25%] [G loss: 0.946086]\n",
            "2936 [D loss: 0.637436, acc.: 65.62%] [G loss: 0.956137]\n",
            "2937 [D loss: 0.717001, acc.: 54.69%] [G loss: 0.870339]\n",
            "2938 [D loss: 0.583665, acc.: 70.31%] [G loss: 0.897425]\n",
            "2939 [D loss: 0.635123, acc.: 65.62%] [G loss: 0.934493]\n",
            "2940 [D loss: 0.652838, acc.: 60.94%] [G loss: 0.954684]\n",
            "2941 [D loss: 0.687060, acc.: 59.38%] [G loss: 0.882409]\n",
            "2942 [D loss: 0.627926, acc.: 68.75%] [G loss: 0.956727]\n",
            "2943 [D loss: 0.547828, acc.: 75.00%] [G loss: 0.868229]\n",
            "2944 [D loss: 0.645192, acc.: 65.62%] [G loss: 0.863866]\n",
            "2945 [D loss: 0.595069, acc.: 70.31%] [G loss: 0.913723]\n",
            "2946 [D loss: 0.622972, acc.: 59.38%] [G loss: 0.872480]\n",
            "2947 [D loss: 0.632094, acc.: 65.62%] [G loss: 0.895700]\n",
            "2948 [D loss: 0.635275, acc.: 64.06%] [G loss: 0.866021]\n",
            "2949 [D loss: 0.724317, acc.: 53.12%] [G loss: 0.933289]\n",
            "2950 [D loss: 0.731214, acc.: 43.75%] [G loss: 0.873051]\n",
            "2951 [D loss: 0.621734, acc.: 60.94%] [G loss: 0.953313]\n",
            "2952 [D loss: 0.586852, acc.: 70.31%] [G loss: 0.926139]\n",
            "2953 [D loss: 0.598071, acc.: 71.88%] [G loss: 0.934836]\n",
            "2954 [D loss: 0.646419, acc.: 67.19%] [G loss: 0.981592]\n",
            "2955 [D loss: 0.673392, acc.: 62.50%] [G loss: 0.922579]\n",
            "2956 [D loss: 0.751775, acc.: 59.38%] [G loss: 0.952709]\n",
            "2957 [D loss: 0.572137, acc.: 71.88%] [G loss: 0.920735]\n",
            "2958 [D loss: 0.661999, acc.: 57.81%] [G loss: 0.919388]\n",
            "2959 [D loss: 0.620461, acc.: 62.50%] [G loss: 0.925662]\n",
            "2960 [D loss: 0.627582, acc.: 67.19%] [G loss: 0.840203]\n",
            "2961 [D loss: 0.700859, acc.: 59.38%] [G loss: 0.867339]\n",
            "2962 [D loss: 0.633258, acc.: 71.88%] [G loss: 0.897677]\n",
            "2963 [D loss: 0.671547, acc.: 53.12%] [G loss: 0.864133]\n",
            "2964 [D loss: 0.664061, acc.: 62.50%] [G loss: 0.854480]\n",
            "2965 [D loss: 0.599007, acc.: 68.75%] [G loss: 0.896311]\n",
            "2966 [D loss: 0.705208, acc.: 62.50%] [G loss: 0.901424]\n",
            "2967 [D loss: 0.567115, acc.: 71.88%] [G loss: 0.979958]\n",
            "2968 [D loss: 0.612360, acc.: 64.06%] [G loss: 0.878253]\n",
            "2969 [D loss: 0.697890, acc.: 53.12%] [G loss: 0.876870]\n",
            "2970 [D loss: 0.694549, acc.: 60.94%] [G loss: 0.864891]\n",
            "2971 [D loss: 0.656596, acc.: 60.94%] [G loss: 0.899273]\n",
            "2972 [D loss: 0.619897, acc.: 62.50%] [G loss: 0.850745]\n",
            "2973 [D loss: 0.711266, acc.: 45.31%] [G loss: 0.853076]\n",
            "2974 [D loss: 0.553996, acc.: 84.38%] [G loss: 0.895433]\n",
            "2975 [D loss: 0.583484, acc.: 68.75%] [G loss: 0.886690]\n",
            "2976 [D loss: 0.689688, acc.: 57.81%] [G loss: 0.867210]\n",
            "2977 [D loss: 0.670614, acc.: 56.25%] [G loss: 0.866890]\n",
            "2978 [D loss: 0.615501, acc.: 64.06%] [G loss: 0.805285]\n",
            "2979 [D loss: 0.656070, acc.: 64.06%] [G loss: 0.864721]\n",
            "2980 [D loss: 0.678212, acc.: 53.12%] [G loss: 0.803898]\n",
            "2981 [D loss: 0.645656, acc.: 62.50%] [G loss: 0.878120]\n",
            "2982 [D loss: 0.641855, acc.: 62.50%] [G loss: 0.880512]\n",
            "2983 [D loss: 0.709046, acc.: 53.12%] [G loss: 0.871928]\n",
            "2984 [D loss: 0.597961, acc.: 68.75%] [G loss: 0.932343]\n",
            "2985 [D loss: 0.643596, acc.: 56.25%] [G loss: 0.884853]\n",
            "2986 [D loss: 0.624995, acc.: 67.19%] [G loss: 0.878165]\n",
            "2987 [D loss: 0.654306, acc.: 59.38%] [G loss: 0.814319]\n",
            "2988 [D loss: 0.650166, acc.: 51.56%] [G loss: 0.846013]\n",
            "2989 [D loss: 0.703762, acc.: 48.44%] [G loss: 0.821460]\n",
            "2990 [D loss: 0.664969, acc.: 60.94%] [G loss: 0.894681]\n",
            "2991 [D loss: 0.642222, acc.: 62.50%] [G loss: 0.874609]\n",
            "2992 [D loss: 0.575709, acc.: 75.00%] [G loss: 0.885556]\n",
            "2993 [D loss: 0.582990, acc.: 68.75%] [G loss: 0.874533]\n",
            "2994 [D loss: 0.622101, acc.: 65.62%] [G loss: 0.907421]\n",
            "2995 [D loss: 0.681719, acc.: 54.69%] [G loss: 0.912695]\n",
            "2996 [D loss: 0.614724, acc.: 68.75%] [G loss: 0.938424]\n",
            "2997 [D loss: 0.637256, acc.: 57.81%] [G loss: 0.859519]\n",
            "2998 [D loss: 0.778525, acc.: 45.31%] [G loss: 0.862476]\n",
            "2999 [D loss: 0.637619, acc.: 64.06%] [G loss: 0.829855]\n",
            "3000 [D loss: 0.606249, acc.: 65.62%] [G loss: 0.883421]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "3001 [D loss: 0.699179, acc.: 54.69%] [G loss: 0.898480]\n",
            "3002 [D loss: 0.639926, acc.: 59.38%] [G loss: 1.004046]\n",
            "3003 [D loss: 0.667337, acc.: 54.69%] [G loss: 0.919552]\n",
            "3004 [D loss: 0.638596, acc.: 65.62%] [G loss: 0.922835]\n",
            "3005 [D loss: 0.634384, acc.: 64.06%] [G loss: 0.828675]\n",
            "3006 [D loss: 0.600463, acc.: 62.50%] [G loss: 0.904188]\n",
            "3007 [D loss: 0.602611, acc.: 62.50%] [G loss: 0.887498]\n",
            "3008 [D loss: 0.694606, acc.: 59.38%] [G loss: 0.889799]\n",
            "3009 [D loss: 0.666962, acc.: 59.38%] [G loss: 0.815155]\n",
            "3010 [D loss: 0.606199, acc.: 70.31%] [G loss: 0.838757]\n",
            "3011 [D loss: 0.646267, acc.: 62.50%] [G loss: 0.821914]\n",
            "3012 [D loss: 0.590800, acc.: 73.44%] [G loss: 0.866369]\n",
            "3013 [D loss: 0.611182, acc.: 64.06%] [G loss: 0.880435]\n",
            "3014 [D loss: 0.652487, acc.: 56.25%] [G loss: 0.892178]\n",
            "3015 [D loss: 0.708613, acc.: 60.94%] [G loss: 0.980350]\n",
            "3016 [D loss: 0.637424, acc.: 62.50%] [G loss: 1.071761]\n",
            "3017 [D loss: 0.644362, acc.: 64.06%] [G loss: 0.946560]\n",
            "3018 [D loss: 0.649022, acc.: 57.81%] [G loss: 0.964144]\n",
            "3019 [D loss: 0.683104, acc.: 54.69%] [G loss: 0.849984]\n",
            "3020 [D loss: 0.683165, acc.: 60.94%] [G loss: 0.838338]\n",
            "3021 [D loss: 0.692627, acc.: 57.81%] [G loss: 0.840351]\n",
            "3022 [D loss: 0.649156, acc.: 59.38%] [G loss: 0.856800]\n",
            "3023 [D loss: 0.647536, acc.: 64.06%] [G loss: 0.847757]\n",
            "3024 [D loss: 0.662618, acc.: 54.69%] [G loss: 0.950187]\n",
            "3025 [D loss: 0.605880, acc.: 70.31%] [G loss: 0.879411]\n",
            "3026 [D loss: 0.634563, acc.: 64.06%] [G loss: 0.931191]\n",
            "3027 [D loss: 0.618187, acc.: 70.31%] [G loss: 0.902862]\n",
            "3028 [D loss: 0.625578, acc.: 62.50%] [G loss: 0.917721]\n",
            "3029 [D loss: 0.668275, acc.: 68.75%] [G loss: 0.891232]\n",
            "3030 [D loss: 0.673676, acc.: 64.06%] [G loss: 0.934328]\n",
            "3031 [D loss: 0.722455, acc.: 48.44%] [G loss: 0.880535]\n",
            "3032 [D loss: 0.609491, acc.: 71.88%] [G loss: 0.891702]\n",
            "3033 [D loss: 0.655032, acc.: 64.06%] [G loss: 0.871171]\n",
            "3034 [D loss: 0.637315, acc.: 60.94%] [G loss: 1.005430]\n",
            "3035 [D loss: 0.658847, acc.: 59.38%] [G loss: 1.014949]\n",
            "3036 [D loss: 0.626181, acc.: 67.19%] [G loss: 0.930618]\n",
            "3037 [D loss: 0.628985, acc.: 62.50%] [G loss: 0.876734]\n",
            "3038 [D loss: 0.752935, acc.: 46.88%] [G loss: 0.883297]\n",
            "3039 [D loss: 0.651382, acc.: 68.75%] [G loss: 0.950304]\n",
            "3040 [D loss: 0.667285, acc.: 56.25%] [G loss: 0.880655]\n",
            "3041 [D loss: 0.613897, acc.: 64.06%] [G loss: 0.913781]\n",
            "3042 [D loss: 0.606072, acc.: 65.62%] [G loss: 0.882812]\n",
            "3043 [D loss: 0.612675, acc.: 68.75%] [G loss: 0.861876]\n",
            "3044 [D loss: 0.661487, acc.: 62.50%] [G loss: 0.844867]\n",
            "3045 [D loss: 0.712317, acc.: 59.38%] [G loss: 0.944674]\n",
            "3046 [D loss: 0.656477, acc.: 54.69%] [G loss: 0.894576]\n",
            "3047 [D loss: 0.615306, acc.: 64.06%] [G loss: 0.877634]\n",
            "3048 [D loss: 0.704070, acc.: 56.25%] [G loss: 0.841648]\n",
            "3049 [D loss: 0.632121, acc.: 62.50%] [G loss: 0.908671]\n",
            "3050 [D loss: 0.660727, acc.: 62.50%] [G loss: 0.871227]\n",
            "3051 [D loss: 0.645483, acc.: 62.50%] [G loss: 0.848526]\n",
            "3052 [D loss: 0.700235, acc.: 53.12%] [G loss: 0.847901]\n",
            "3053 [D loss: 0.777950, acc.: 53.12%] [G loss: 0.938080]\n",
            "3054 [D loss: 0.616734, acc.: 64.06%] [G loss: 0.913737]\n",
            "3055 [D loss: 0.608021, acc.: 67.19%] [G loss: 0.839725]\n",
            "3056 [D loss: 0.688746, acc.: 67.19%] [G loss: 0.941873]\n",
            "3057 [D loss: 0.638531, acc.: 59.38%] [G loss: 0.837652]\n",
            "3058 [D loss: 0.675575, acc.: 67.19%] [G loss: 0.972793]\n",
            "3059 [D loss: 0.677608, acc.: 59.38%] [G loss: 0.882176]\n",
            "3060 [D loss: 0.576386, acc.: 78.12%] [G loss: 0.904575]\n",
            "3061 [D loss: 0.656056, acc.: 57.81%] [G loss: 0.986727]\n",
            "3062 [D loss: 0.653229, acc.: 62.50%] [G loss: 0.794092]\n",
            "3063 [D loss: 0.695909, acc.: 54.69%] [G loss: 0.835623]\n",
            "3064 [D loss: 0.652575, acc.: 67.19%] [G loss: 0.821900]\n",
            "3065 [D loss: 0.648817, acc.: 64.06%] [G loss: 0.832708]\n",
            "3066 [D loss: 0.590327, acc.: 64.06%] [G loss: 0.834901]\n",
            "3067 [D loss: 0.618441, acc.: 68.75%] [G loss: 0.891855]\n",
            "3068 [D loss: 0.608152, acc.: 71.88%] [G loss: 0.791044]\n",
            "3069 [D loss: 0.667590, acc.: 64.06%] [G loss: 0.906521]\n",
            "3070 [D loss: 0.630785, acc.: 68.75%] [G loss: 0.913687]\n",
            "3071 [D loss: 0.643353, acc.: 60.94%] [G loss: 0.924844]\n",
            "3072 [D loss: 0.635297, acc.: 67.19%] [G loss: 1.001091]\n",
            "3073 [D loss: 0.733238, acc.: 50.00%] [G loss: 0.897246]\n",
            "3074 [D loss: 0.696008, acc.: 53.12%] [G loss: 0.886097]\n",
            "3075 [D loss: 0.711164, acc.: 53.12%] [G loss: 0.902021]\n",
            "3076 [D loss: 0.630772, acc.: 70.31%] [G loss: 0.998141]\n",
            "3077 [D loss: 0.623443, acc.: 59.38%] [G loss: 0.952681]\n",
            "3078 [D loss: 0.572685, acc.: 73.44%] [G loss: 0.905651]\n",
            "3079 [D loss: 0.648833, acc.: 57.81%] [G loss: 0.940362]\n",
            "3080 [D loss: 0.640874, acc.: 65.62%] [G loss: 0.916267]\n",
            "3081 [D loss: 0.620973, acc.: 57.81%] [G loss: 0.972090]\n",
            "3082 [D loss: 0.637874, acc.: 59.38%] [G loss: 0.899582]\n",
            "3083 [D loss: 0.684206, acc.: 51.56%] [G loss: 0.928895]\n",
            "3084 [D loss: 0.680038, acc.: 59.38%] [G loss: 0.937439]\n",
            "3085 [D loss: 0.650813, acc.: 65.62%] [G loss: 0.868421]\n",
            "3086 [D loss: 0.662920, acc.: 59.38%] [G loss: 0.988006]\n",
            "3087 [D loss: 0.645822, acc.: 60.94%] [G loss: 0.819981]\n",
            "3088 [D loss: 0.642781, acc.: 71.88%] [G loss: 0.879091]\n",
            "3089 [D loss: 0.589565, acc.: 75.00%] [G loss: 0.922501]\n",
            "3090 [D loss: 0.686617, acc.: 54.69%] [G loss: 0.805749]\n",
            "3091 [D loss: 0.600889, acc.: 62.50%] [G loss: 0.873831]\n",
            "3092 [D loss: 0.631904, acc.: 59.38%] [G loss: 0.922704]\n",
            "3093 [D loss: 0.678820, acc.: 57.81%] [G loss: 0.882475]\n",
            "3094 [D loss: 0.660125, acc.: 62.50%] [G loss: 0.954244]\n",
            "3095 [D loss: 0.630022, acc.: 59.38%] [G loss: 0.982000]\n",
            "3096 [D loss: 0.694292, acc.: 57.81%] [G loss: 0.877040]\n",
            "3097 [D loss: 0.599216, acc.: 75.00%] [G loss: 0.928531]\n",
            "3098 [D loss: 0.621123, acc.: 70.31%] [G loss: 0.871813]\n",
            "3099 [D loss: 0.694456, acc.: 54.69%] [G loss: 0.847956]\n",
            "3100 [D loss: 0.675683, acc.: 57.81%] [G loss: 0.921401]\n",
            "3101 [D loss: 0.704791, acc.: 51.56%] [G loss: 0.941383]\n",
            "3102 [D loss: 0.626204, acc.: 60.94%] [G loss: 0.877416]\n",
            "3103 [D loss: 0.645993, acc.: 57.81%] [G loss: 0.931763]\n",
            "3104 [D loss: 0.669951, acc.: 64.06%] [G loss: 0.874063]\n",
            "3105 [D loss: 0.708398, acc.: 53.12%] [G loss: 0.868226]\n",
            "3106 [D loss: 0.693992, acc.: 53.12%] [G loss: 0.872930]\n",
            "3107 [D loss: 0.632324, acc.: 56.25%] [G loss: 0.863977]\n",
            "3108 [D loss: 0.618283, acc.: 65.62%] [G loss: 0.904324]\n",
            "3109 [D loss: 0.720462, acc.: 51.56%] [G loss: 0.830294]\n",
            "3110 [D loss: 0.629077, acc.: 71.88%] [G loss: 0.843432]\n",
            "3111 [D loss: 0.644210, acc.: 65.62%] [G loss: 0.819282]\n",
            "3112 [D loss: 0.634238, acc.: 65.62%] [G loss: 0.933017]\n",
            "3113 [D loss: 0.662204, acc.: 56.25%] [G loss: 0.905924]\n",
            "3114 [D loss: 0.662562, acc.: 59.38%] [G loss: 0.857666]\n",
            "3115 [D loss: 0.645704, acc.: 60.94%] [G loss: 0.819058]\n",
            "3116 [D loss: 0.668129, acc.: 62.50%] [G loss: 0.890097]\n",
            "3117 [D loss: 0.584805, acc.: 76.56%] [G loss: 0.880686]\n",
            "3118 [D loss: 0.689649, acc.: 53.12%] [G loss: 0.871320]\n",
            "3119 [D loss: 0.633646, acc.: 59.38%] [G loss: 0.890220]\n",
            "3120 [D loss: 0.649179, acc.: 60.94%] [G loss: 0.826316]\n",
            "3121 [D loss: 0.591077, acc.: 68.75%] [G loss: 0.905150]\n",
            "3122 [D loss: 0.590894, acc.: 67.19%] [G loss: 0.904117]\n",
            "3123 [D loss: 0.621556, acc.: 57.81%] [G loss: 0.888806]\n",
            "3124 [D loss: 0.609819, acc.: 71.88%] [G loss: 0.892574]\n",
            "3125 [D loss: 0.650125, acc.: 59.38%] [G loss: 0.878987]\n",
            "3126 [D loss: 0.675134, acc.: 56.25%] [G loss: 0.817937]\n",
            "3127 [D loss: 0.660620, acc.: 56.25%] [G loss: 0.940351]\n",
            "3128 [D loss: 0.654365, acc.: 60.94%] [G loss: 0.920879]\n",
            "3129 [D loss: 0.689182, acc.: 57.81%] [G loss: 0.837693]\n",
            "3130 [D loss: 0.595237, acc.: 75.00%] [G loss: 0.859547]\n",
            "3131 [D loss: 0.590808, acc.: 76.56%] [G loss: 0.861068]\n",
            "3132 [D loss: 0.680659, acc.: 65.62%] [G loss: 0.849950]\n",
            "3133 [D loss: 0.632035, acc.: 60.94%] [G loss: 0.820197]\n",
            "3134 [D loss: 0.674487, acc.: 62.50%] [G loss: 0.828223]\n",
            "3135 [D loss: 0.617617, acc.: 59.38%] [G loss: 0.783942]\n",
            "3136 [D loss: 0.719919, acc.: 46.88%] [G loss: 0.938710]\n",
            "3137 [D loss: 0.627943, acc.: 65.62%] [G loss: 0.945002]\n",
            "3138 [D loss: 0.690315, acc.: 50.00%] [G loss: 0.864005]\n",
            "3139 [D loss: 0.629711, acc.: 65.62%] [G loss: 0.899903]\n",
            "3140 [D loss: 0.633245, acc.: 59.38%] [G loss: 0.962182]\n",
            "3141 [D loss: 0.640444, acc.: 65.62%] [G loss: 0.914111]\n",
            "3142 [D loss: 0.701303, acc.: 59.38%] [G loss: 0.872341]\n",
            "3143 [D loss: 0.648651, acc.: 59.38%] [G loss: 0.900726]\n",
            "3144 [D loss: 0.686823, acc.: 50.00%] [G loss: 0.941422]\n",
            "3145 [D loss: 0.657831, acc.: 62.50%] [G loss: 0.859851]\n",
            "3146 [D loss: 0.708579, acc.: 51.56%] [G loss: 0.792161]\n",
            "3147 [D loss: 0.637014, acc.: 60.94%] [G loss: 0.841847]\n",
            "3148 [D loss: 0.610668, acc.: 79.69%] [G loss: 0.815716]\n",
            "3149 [D loss: 0.638166, acc.: 60.94%] [G loss: 0.848499]\n",
            "3150 [D loss: 0.593253, acc.: 73.44%] [G loss: 0.861255]\n",
            "3151 [D loss: 0.662153, acc.: 64.06%] [G loss: 0.909724]\n",
            "3152 [D loss: 0.633275, acc.: 67.19%] [G loss: 0.973613]\n",
            "3153 [D loss: 0.653416, acc.: 67.19%] [G loss: 0.887466]\n",
            "3154 [D loss: 0.681583, acc.: 60.94%] [G loss: 1.008279]\n",
            "3155 [D loss: 0.736258, acc.: 46.88%] [G loss: 0.937428]\n",
            "3156 [D loss: 0.606771, acc.: 71.88%] [G loss: 0.901867]\n",
            "3157 [D loss: 0.600664, acc.: 67.19%] [G loss: 0.956827]\n",
            "3158 [D loss: 0.649561, acc.: 56.25%] [G loss: 0.972682]\n",
            "3159 [D loss: 0.648881, acc.: 64.06%] [G loss: 0.904340]\n",
            "3160 [D loss: 0.676248, acc.: 64.06%] [G loss: 0.973645]\n",
            "3161 [D loss: 0.627642, acc.: 64.06%] [G loss: 0.924275]\n",
            "3162 [D loss: 0.665311, acc.: 68.75%] [G loss: 0.916558]\n",
            "3163 [D loss: 0.654130, acc.: 56.25%] [G loss: 0.818202]\n",
            "3164 [D loss: 0.628851, acc.: 65.62%] [G loss: 0.857664]\n",
            "3165 [D loss: 0.674052, acc.: 48.44%] [G loss: 0.799817]\n",
            "3166 [D loss: 0.597103, acc.: 70.31%] [G loss: 0.899639]\n",
            "3167 [D loss: 0.668041, acc.: 64.06%] [G loss: 0.952568]\n",
            "3168 [D loss: 0.538185, acc.: 76.56%] [G loss: 0.905750]\n",
            "3169 [D loss: 0.594495, acc.: 65.62%] [G loss: 0.884292]\n",
            "3170 [D loss: 0.655642, acc.: 62.50%] [G loss: 0.820956]\n",
            "3171 [D loss: 0.617025, acc.: 57.81%] [G loss: 0.823632]\n",
            "3172 [D loss: 0.689518, acc.: 54.69%] [G loss: 0.863396]\n",
            "3173 [D loss: 0.611809, acc.: 65.62%] [G loss: 0.925994]\n",
            "3174 [D loss: 0.642173, acc.: 62.50%] [G loss: 1.030317]\n",
            "3175 [D loss: 0.591169, acc.: 67.19%] [G loss: 0.871122]\n",
            "3176 [D loss: 0.700303, acc.: 62.50%] [G loss: 0.873341]\n",
            "3177 [D loss: 0.709455, acc.: 53.12%] [G loss: 0.868117]\n",
            "3178 [D loss: 0.609515, acc.: 70.31%] [G loss: 0.884630]\n",
            "3179 [D loss: 0.652417, acc.: 54.69%] [G loss: 0.932831]\n",
            "3180 [D loss: 0.686674, acc.: 50.00%] [G loss: 0.901677]\n",
            "3181 [D loss: 0.697989, acc.: 53.12%] [G loss: 0.908694]\n",
            "3182 [D loss: 0.663717, acc.: 67.19%] [G loss: 0.858941]\n",
            "3183 [D loss: 0.673430, acc.: 57.81%] [G loss: 0.880669]\n",
            "3184 [D loss: 0.652319, acc.: 62.50%] [G loss: 0.885316]\n",
            "3185 [D loss: 0.627867, acc.: 68.75%] [G loss: 0.913352]\n",
            "3186 [D loss: 0.661706, acc.: 54.69%] [G loss: 0.887919]\n",
            "3187 [D loss: 0.692512, acc.: 51.56%] [G loss: 0.854013]\n",
            "3188 [D loss: 0.684796, acc.: 54.69%] [G loss: 0.837183]\n",
            "3189 [D loss: 0.603585, acc.: 71.88%] [G loss: 0.956937]\n",
            "3190 [D loss: 0.647421, acc.: 62.50%] [G loss: 0.841053]\n",
            "3191 [D loss: 0.727510, acc.: 46.88%] [G loss: 0.874047]\n",
            "3192 [D loss: 0.641444, acc.: 68.75%] [G loss: 0.871382]\n",
            "3193 [D loss: 0.644105, acc.: 67.19%] [G loss: 0.887467]\n",
            "3194 [D loss: 0.653301, acc.: 62.50%] [G loss: 0.865020]\n",
            "3195 [D loss: 0.696698, acc.: 62.50%] [G loss: 0.883187]\n",
            "3196 [D loss: 0.704695, acc.: 51.56%] [G loss: 0.870922]\n",
            "3197 [D loss: 0.627014, acc.: 62.50%] [G loss: 0.875093]\n",
            "3198 [D loss: 0.649191, acc.: 64.06%] [G loss: 0.815679]\n",
            "3199 [D loss: 0.687220, acc.: 50.00%] [G loss: 0.858950]\n",
            "3200 [D loss: 0.625144, acc.: 68.75%] [G loss: 0.925385]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCSGiQIudECIK/g/qmknKC6y0mQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "3201 [D loss: 0.692934, acc.: 59.38%] [G loss: 0.787601]\n",
            "3202 [D loss: 0.648574, acc.: 57.81%] [G loss: 0.926882]\n",
            "3203 [D loss: 0.597003, acc.: 75.00%] [G loss: 0.917724]\n",
            "3204 [D loss: 0.641598, acc.: 59.38%] [G loss: 0.866885]\n",
            "3205 [D loss: 0.611049, acc.: 64.06%] [G loss: 0.955447]\n",
            "3206 [D loss: 0.698780, acc.: 53.12%] [G loss: 0.903068]\n",
            "3207 [D loss: 0.740212, acc.: 50.00%] [G loss: 0.829556]\n",
            "3208 [D loss: 0.627903, acc.: 57.81%] [G loss: 0.916053]\n",
            "3209 [D loss: 0.668842, acc.: 59.38%] [G loss: 0.886678]\n",
            "3210 [D loss: 0.609981, acc.: 62.50%] [G loss: 0.875010]\n",
            "3211 [D loss: 0.622868, acc.: 65.62%] [G loss: 0.912840]\n",
            "3212 [D loss: 0.696231, acc.: 51.56%] [G loss: 0.864120]\n",
            "3213 [D loss: 0.680331, acc.: 54.69%] [G loss: 0.873931]\n",
            "3214 [D loss: 0.647910, acc.: 57.81%] [G loss: 0.938734]\n",
            "3215 [D loss: 0.644630, acc.: 67.19%] [G loss: 0.829868]\n",
            "3216 [D loss: 0.654294, acc.: 64.06%] [G loss: 0.894905]\n",
            "3217 [D loss: 0.598782, acc.: 73.44%] [G loss: 0.849951]\n",
            "3218 [D loss: 0.687973, acc.: 57.81%] [G loss: 0.881671]\n",
            "3219 [D loss: 0.616769, acc.: 73.44%] [G loss: 0.942462]\n",
            "3220 [D loss: 0.593906, acc.: 68.75%] [G loss: 0.965391]\n",
            "3221 [D loss: 0.640715, acc.: 60.94%] [G loss: 0.913137]\n",
            "3222 [D loss: 0.659254, acc.: 60.94%] [G loss: 0.900643]\n",
            "3223 [D loss: 0.601903, acc.: 64.06%] [G loss: 0.836151]\n",
            "3224 [D loss: 0.667517, acc.: 67.19%] [G loss: 0.850611]\n",
            "3225 [D loss: 0.682567, acc.: 51.56%] [G loss: 0.892898]\n",
            "3226 [D loss: 0.648394, acc.: 62.50%] [G loss: 0.947436]\n",
            "3227 [D loss: 0.637429, acc.: 68.75%] [G loss: 0.909443]\n",
            "3228 [D loss: 0.644323, acc.: 62.50%] [G loss: 0.961889]\n",
            "3229 [D loss: 0.653523, acc.: 67.19%] [G loss: 0.883601]\n",
            "3230 [D loss: 0.703690, acc.: 67.19%] [G loss: 0.927417]\n",
            "3231 [D loss: 0.650397, acc.: 60.94%] [G loss: 0.923695]\n",
            "3232 [D loss: 0.621606, acc.: 71.88%] [G loss: 0.931504]\n",
            "3233 [D loss: 0.623237, acc.: 60.94%] [G loss: 0.928982]\n",
            "3234 [D loss: 0.712735, acc.: 59.38%] [G loss: 0.958586]\n",
            "3235 [D loss: 0.622979, acc.: 68.75%] [G loss: 0.839503]\n",
            "3236 [D loss: 0.583534, acc.: 73.44%] [G loss: 0.828765]\n",
            "3237 [D loss: 0.617448, acc.: 67.19%] [G loss: 0.915367]\n",
            "3238 [D loss: 0.643325, acc.: 62.50%] [G loss: 0.959120]\n",
            "3239 [D loss: 0.605880, acc.: 73.44%] [G loss: 0.940055]\n",
            "3240 [D loss: 0.628718, acc.: 67.19%] [G loss: 0.973379]\n",
            "3241 [D loss: 0.610801, acc.: 65.62%] [G loss: 0.909255]\n",
            "3242 [D loss: 0.606331, acc.: 67.19%] [G loss: 0.938782]\n",
            "3243 [D loss: 0.667076, acc.: 57.81%] [G loss: 0.809478]\n",
            "3244 [D loss: 0.581295, acc.: 65.62%] [G loss: 0.906557]\n",
            "3245 [D loss: 0.639998, acc.: 64.06%] [G loss: 0.855190]\n",
            "3246 [D loss: 0.698129, acc.: 57.81%] [G loss: 0.843078]\n",
            "3247 [D loss: 0.625182, acc.: 67.19%] [G loss: 0.837352]\n",
            "3248 [D loss: 0.586213, acc.: 71.88%] [G loss: 0.869096]\n",
            "3249 [D loss: 0.687405, acc.: 54.69%] [G loss: 0.881928]\n",
            "3250 [D loss: 0.738359, acc.: 45.31%] [G loss: 0.851993]\n",
            "3251 [D loss: 0.583130, acc.: 75.00%] [G loss: 0.871446]\n",
            "3252 [D loss: 0.664967, acc.: 56.25%] [G loss: 1.037086]\n",
            "3253 [D loss: 0.665780, acc.: 59.38%] [G loss: 0.841304]\n",
            "3254 [D loss: 0.627191, acc.: 62.50%] [G loss: 0.922062]\n",
            "3255 [D loss: 0.682666, acc.: 46.88%] [G loss: 0.829664]\n",
            "3256 [D loss: 0.614172, acc.: 60.94%] [G loss: 0.854635]\n",
            "3257 [D loss: 0.524346, acc.: 84.38%] [G loss: 0.882717]\n",
            "3258 [D loss: 0.625013, acc.: 67.19%] [G loss: 0.846003]\n",
            "3259 [D loss: 0.642531, acc.: 57.81%] [G loss: 0.888429]\n",
            "3260 [D loss: 0.643321, acc.: 62.50%] [G loss: 0.944874]\n",
            "3261 [D loss: 0.576912, acc.: 64.06%] [G loss: 0.876234]\n",
            "3262 [D loss: 0.604376, acc.: 73.44%] [G loss: 0.958427]\n",
            "3263 [D loss: 0.671274, acc.: 57.81%] [G loss: 0.945157]\n",
            "3264 [D loss: 0.595133, acc.: 71.88%] [G loss: 0.904343]\n",
            "3265 [D loss: 0.605468, acc.: 67.19%] [G loss: 0.876295]\n",
            "3266 [D loss: 0.624034, acc.: 60.94%] [G loss: 0.911800]\n",
            "3267 [D loss: 0.638780, acc.: 62.50%] [G loss: 0.850998]\n",
            "3268 [D loss: 0.693735, acc.: 50.00%] [G loss: 0.848887]\n",
            "3269 [D loss: 0.565391, acc.: 75.00%] [G loss: 0.919968]\n",
            "3270 [D loss: 0.753284, acc.: 45.31%] [G loss: 0.939012]\n",
            "3271 [D loss: 0.646420, acc.: 71.88%] [G loss: 0.892945]\n",
            "3272 [D loss: 0.628342, acc.: 62.50%] [G loss: 0.943847]\n",
            "3273 [D loss: 0.680345, acc.: 57.81%] [G loss: 0.954071]\n",
            "3274 [D loss: 0.620047, acc.: 71.88%] [G loss: 0.867218]\n",
            "3275 [D loss: 0.632644, acc.: 67.19%] [G loss: 0.829448]\n",
            "3276 [D loss: 0.673121, acc.: 59.38%] [G loss: 0.801488]\n",
            "3277 [D loss: 0.622073, acc.: 70.31%] [G loss: 0.883211]\n",
            "3278 [D loss: 0.622178, acc.: 70.31%] [G loss: 0.874887]\n",
            "3279 [D loss: 0.699851, acc.: 53.12%] [G loss: 0.889937]\n",
            "3280 [D loss: 0.648302, acc.: 60.94%] [G loss: 0.866838]\n",
            "3281 [D loss: 0.600702, acc.: 70.31%] [G loss: 0.838071]\n",
            "3282 [D loss: 0.698816, acc.: 59.38%] [G loss: 0.893714]\n",
            "3283 [D loss: 0.664070, acc.: 54.69%] [G loss: 0.906359]\n",
            "3284 [D loss: 0.707529, acc.: 50.00%] [G loss: 0.937297]\n",
            "3285 [D loss: 0.590598, acc.: 68.75%] [G loss: 0.920230]\n",
            "3286 [D loss: 0.671445, acc.: 62.50%] [G loss: 0.890902]\n",
            "3287 [D loss: 0.664282, acc.: 60.94%] [G loss: 0.897998]\n",
            "3288 [D loss: 0.656988, acc.: 57.81%] [G loss: 0.868413]\n",
            "3289 [D loss: 0.733399, acc.: 45.31%] [G loss: 0.868527]\n",
            "3290 [D loss: 0.640602, acc.: 59.38%] [G loss: 0.922492]\n",
            "3291 [D loss: 0.606513, acc.: 70.31%] [G loss: 0.850650]\n",
            "3292 [D loss: 0.652385, acc.: 62.50%] [G loss: 0.909395]\n",
            "3293 [D loss: 0.644919, acc.: 57.81%] [G loss: 0.855447]\n",
            "3294 [D loss: 0.707683, acc.: 57.81%] [G loss: 0.866371]\n",
            "3295 [D loss: 0.593170, acc.: 70.31%] [G loss: 0.902900]\n",
            "3296 [D loss: 0.628462, acc.: 59.38%] [G loss: 0.948105]\n",
            "3297 [D loss: 0.631163, acc.: 62.50%] [G loss: 1.005088]\n",
            "3298 [D loss: 0.634349, acc.: 60.94%] [G loss: 0.983567]\n",
            "3299 [D loss: 0.665275, acc.: 56.25%] [G loss: 0.968185]\n",
            "3300 [D loss: 0.668977, acc.: 62.50%] [G loss: 0.842334]\n",
            "3301 [D loss: 0.662722, acc.: 60.94%] [G loss: 0.902792]\n",
            "3302 [D loss: 0.665221, acc.: 59.38%] [G loss: 0.841741]\n",
            "3303 [D loss: 0.620883, acc.: 59.38%] [G loss: 0.816706]\n",
            "3304 [D loss: 0.584558, acc.: 67.19%] [G loss: 0.864980]\n",
            "3305 [D loss: 0.687137, acc.: 54.69%] [G loss: 0.922604]\n",
            "3306 [D loss: 0.627870, acc.: 62.50%] [G loss: 0.833373]\n",
            "3307 [D loss: 0.632656, acc.: 64.06%] [G loss: 0.929881]\n",
            "3308 [D loss: 0.726640, acc.: 59.38%] [G loss: 0.870001]\n",
            "3309 [D loss: 0.641084, acc.: 59.38%] [G loss: 0.964080]\n",
            "3310 [D loss: 0.656447, acc.: 56.25%] [G loss: 0.891226]\n",
            "3311 [D loss: 0.725052, acc.: 51.56%] [G loss: 0.835287]\n",
            "3312 [D loss: 0.617031, acc.: 59.38%] [G loss: 0.854226]\n",
            "3313 [D loss: 0.627202, acc.: 62.50%] [G loss: 0.866473]\n",
            "3314 [D loss: 0.723482, acc.: 51.56%] [G loss: 0.899544]\n",
            "3315 [D loss: 0.605275, acc.: 67.19%] [G loss: 0.956927]\n",
            "3316 [D loss: 0.577172, acc.: 75.00%] [G loss: 0.885227]\n",
            "3317 [D loss: 0.740785, acc.: 51.56%] [G loss: 0.905419]\n",
            "3318 [D loss: 0.654523, acc.: 65.62%] [G loss: 0.916355]\n",
            "3319 [D loss: 0.658621, acc.: 64.06%] [G loss: 0.866339]\n",
            "3320 [D loss: 0.605009, acc.: 73.44%] [G loss: 0.877576]\n",
            "3321 [D loss: 0.655719, acc.: 62.50%] [G loss: 0.822704]\n",
            "3322 [D loss: 0.671111, acc.: 57.81%] [G loss: 0.895575]\n",
            "3323 [D loss: 0.614531, acc.: 67.19%] [G loss: 0.905455]\n",
            "3324 [D loss: 0.665082, acc.: 57.81%] [G loss: 0.877621]\n",
            "3325 [D loss: 0.635840, acc.: 65.62%] [G loss: 0.918252]\n",
            "3326 [D loss: 0.691113, acc.: 48.44%] [G loss: 0.919762]\n",
            "3327 [D loss: 0.606965, acc.: 67.19%] [G loss: 0.851561]\n",
            "3328 [D loss: 0.620495, acc.: 62.50%] [G loss: 0.837253]\n",
            "3329 [D loss: 0.654745, acc.: 62.50%] [G loss: 0.888029]\n",
            "3330 [D loss: 0.660187, acc.: 60.94%] [G loss: 0.856885]\n",
            "3331 [D loss: 0.611287, acc.: 62.50%] [G loss: 0.874389]\n",
            "3332 [D loss: 0.645929, acc.: 57.81%] [G loss: 0.889430]\n",
            "3333 [D loss: 0.660136, acc.: 57.81%] [G loss: 0.915737]\n",
            "3334 [D loss: 0.629060, acc.: 67.19%] [G loss: 1.008691]\n",
            "3335 [D loss: 0.649957, acc.: 62.50%] [G loss: 0.934385]\n",
            "3336 [D loss: 0.651170, acc.: 67.19%] [G loss: 0.872307]\n",
            "3337 [D loss: 0.645221, acc.: 70.31%] [G loss: 0.907071]\n",
            "3338 [D loss: 0.714965, acc.: 64.06%] [G loss: 0.916958]\n",
            "3339 [D loss: 0.621615, acc.: 62.50%] [G loss: 0.899106]\n",
            "3340 [D loss: 0.636679, acc.: 64.06%] [G loss: 0.976640]\n",
            "3341 [D loss: 0.678028, acc.: 56.25%] [G loss: 0.892281]\n",
            "3342 [D loss: 0.612801, acc.: 67.19%] [G loss: 0.902457]\n",
            "3343 [D loss: 0.632460, acc.: 70.31%] [G loss: 0.909856]\n",
            "3344 [D loss: 0.667447, acc.: 54.69%] [G loss: 0.820066]\n",
            "3345 [D loss: 0.640985, acc.: 67.19%] [G loss: 0.899277]\n",
            "3346 [D loss: 0.610286, acc.: 65.62%] [G loss: 0.912580]\n",
            "3347 [D loss: 0.631424, acc.: 62.50%] [G loss: 0.828066]\n",
            "3348 [D loss: 0.645818, acc.: 59.38%] [G loss: 0.895710]\n",
            "3349 [D loss: 0.656926, acc.: 64.06%] [G loss: 0.957409]\n",
            "3350 [D loss: 0.598606, acc.: 71.88%] [G loss: 0.895168]\n",
            "3351 [D loss: 0.585965, acc.: 68.75%] [G loss: 0.798040]\n",
            "3352 [D loss: 0.603375, acc.: 57.81%] [G loss: 0.976849]\n",
            "3353 [D loss: 0.720778, acc.: 54.69%] [G loss: 0.818018]\n",
            "3354 [D loss: 0.679332, acc.: 62.50%] [G loss: 0.958233]\n",
            "3355 [D loss: 0.686204, acc.: 57.81%] [G loss: 0.880895]\n",
            "3356 [D loss: 0.677663, acc.: 56.25%] [G loss: 0.856752]\n",
            "3357 [D loss: 0.666220, acc.: 59.38%] [G loss: 0.962292]\n",
            "3358 [D loss: 0.668061, acc.: 60.94%] [G loss: 0.921619]\n",
            "3359 [D loss: 0.614430, acc.: 67.19%] [G loss: 0.939153]\n",
            "3360 [D loss: 0.660689, acc.: 60.94%] [G loss: 0.940120]\n",
            "3361 [D loss: 0.755451, acc.: 46.88%] [G loss: 0.896706]\n",
            "3362 [D loss: 0.637419, acc.: 62.50%] [G loss: 0.993464]\n",
            "3363 [D loss: 0.663489, acc.: 62.50%] [G loss: 0.967120]\n",
            "3364 [D loss: 0.654907, acc.: 57.81%] [G loss: 0.929702]\n",
            "3365 [D loss: 0.685231, acc.: 57.81%] [G loss: 0.950642]\n",
            "3366 [D loss: 0.665830, acc.: 54.69%] [G loss: 0.974523]\n",
            "3367 [D loss: 0.617611, acc.: 68.75%] [G loss: 0.920918]\n",
            "3368 [D loss: 0.708913, acc.: 59.38%] [G loss: 0.863775]\n",
            "3369 [D loss: 0.634524, acc.: 67.19%] [G loss: 0.881606]\n",
            "3370 [D loss: 0.654401, acc.: 71.88%] [G loss: 0.901066]\n",
            "3371 [D loss: 0.644791, acc.: 62.50%] [G loss: 0.941703]\n",
            "3372 [D loss: 0.680320, acc.: 54.69%] [G loss: 0.900522]\n",
            "3373 [D loss: 0.650349, acc.: 51.56%] [G loss: 0.801829]\n",
            "3374 [D loss: 0.673154, acc.: 51.56%] [G loss: 0.815343]\n",
            "3375 [D loss: 0.707885, acc.: 53.12%] [G loss: 0.797471]\n",
            "3376 [D loss: 0.652128, acc.: 64.06%] [G loss: 0.871698]\n",
            "3377 [D loss: 0.612966, acc.: 68.75%] [G loss: 0.858691]\n",
            "3378 [D loss: 0.645034, acc.: 57.81%] [G loss: 0.888607]\n",
            "3379 [D loss: 0.600555, acc.: 70.31%] [G loss: 0.909505]\n",
            "3380 [D loss: 0.554032, acc.: 78.12%] [G loss: 0.868999]\n",
            "3381 [D loss: 0.637250, acc.: 60.94%] [G loss: 0.967087]\n",
            "3382 [D loss: 0.637243, acc.: 64.06%] [G loss: 0.928466]\n",
            "3383 [D loss: 0.669971, acc.: 62.50%] [G loss: 0.900688]\n",
            "3384 [D loss: 0.600210, acc.: 62.50%] [G loss: 0.842448]\n",
            "3385 [D loss: 0.634094, acc.: 64.06%] [G loss: 0.916556]\n",
            "3386 [D loss: 0.660415, acc.: 62.50%] [G loss: 0.878867]\n",
            "3387 [D loss: 0.596373, acc.: 68.75%] [G loss: 0.904174]\n",
            "3388 [D loss: 0.626222, acc.: 65.62%] [G loss: 0.849261]\n",
            "3389 [D loss: 0.596300, acc.: 67.19%] [G loss: 0.927446]\n",
            "3390 [D loss: 0.635817, acc.: 64.06%] [G loss: 0.944659]\n",
            "3391 [D loss: 0.738427, acc.: 54.69%] [G loss: 0.870091]\n",
            "3392 [D loss: 0.614130, acc.: 60.94%] [G loss: 0.776114]\n",
            "3393 [D loss: 0.667654, acc.: 56.25%] [G loss: 0.783781]\n",
            "3394 [D loss: 0.657264, acc.: 62.50%] [G loss: 0.889373]\n",
            "3395 [D loss: 0.644093, acc.: 60.94%] [G loss: 0.893848]\n",
            "3396 [D loss: 0.658129, acc.: 56.25%] [G loss: 0.955017]\n",
            "3397 [D loss: 0.555843, acc.: 78.12%] [G loss: 0.976226]\n",
            "3398 [D loss: 0.649970, acc.: 65.62%] [G loss: 0.893593]\n",
            "3399 [D loss: 0.702680, acc.: 50.00%] [G loss: 0.895800]\n",
            "3400 [D loss: 0.692691, acc.: 59.38%] [G loss: 0.794151]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "3401 [D loss: 0.595050, acc.: 67.19%] [G loss: 0.806073]\n",
            "3402 [D loss: 0.638689, acc.: 65.62%] [G loss: 0.960913]\n",
            "3403 [D loss: 0.643500, acc.: 64.06%] [G loss: 0.906457]\n",
            "3404 [D loss: 0.649707, acc.: 53.12%] [G loss: 0.937979]\n",
            "3405 [D loss: 0.600855, acc.: 73.44%] [G loss: 0.920523]\n",
            "3406 [D loss: 0.599980, acc.: 68.75%] [G loss: 0.966034]\n",
            "3407 [D loss: 0.673370, acc.: 62.50%] [G loss: 0.988769]\n",
            "3408 [D loss: 0.641267, acc.: 56.25%] [G loss: 0.933626]\n",
            "3409 [D loss: 0.623887, acc.: 65.62%] [G loss: 0.932261]\n",
            "3410 [D loss: 0.686801, acc.: 65.62%] [G loss: 0.807720]\n",
            "3411 [D loss: 0.612541, acc.: 73.44%] [G loss: 0.755933]\n",
            "3412 [D loss: 0.614316, acc.: 70.31%] [G loss: 0.894615]\n",
            "3413 [D loss: 0.624003, acc.: 65.62%] [G loss: 0.917961]\n",
            "3414 [D loss: 0.701396, acc.: 54.69%] [G loss: 0.910908]\n",
            "3415 [D loss: 0.646082, acc.: 65.62%] [G loss: 0.911833]\n",
            "3416 [D loss: 0.632467, acc.: 67.19%] [G loss: 0.983268]\n",
            "3417 [D loss: 0.605335, acc.: 68.75%] [G loss: 0.878978]\n",
            "3418 [D loss: 0.664946, acc.: 65.62%] [G loss: 0.762121]\n",
            "3419 [D loss: 0.598846, acc.: 71.88%] [G loss: 0.832982]\n",
            "3420 [D loss: 0.708901, acc.: 51.56%] [G loss: 0.881231]\n",
            "3421 [D loss: 0.607284, acc.: 67.19%] [G loss: 0.903729]\n",
            "3422 [D loss: 0.629154, acc.: 67.19%] [G loss: 0.890855]\n",
            "3423 [D loss: 0.762737, acc.: 51.56%] [G loss: 0.899062]\n",
            "3424 [D loss: 0.659548, acc.: 62.50%] [G loss: 0.936575]\n",
            "3425 [D loss: 0.621078, acc.: 60.94%] [G loss: 0.898150]\n",
            "3426 [D loss: 0.683434, acc.: 62.50%] [G loss: 0.957409]\n",
            "3427 [D loss: 0.643386, acc.: 68.75%] [G loss: 0.845162]\n",
            "3428 [D loss: 0.639784, acc.: 62.50%] [G loss: 0.870226]\n",
            "3429 [D loss: 0.647085, acc.: 62.50%] [G loss: 0.908543]\n",
            "3430 [D loss: 0.664180, acc.: 53.12%] [G loss: 0.848303]\n",
            "3431 [D loss: 0.638526, acc.: 62.50%] [G loss: 0.911433]\n",
            "3432 [D loss: 0.618997, acc.: 67.19%] [G loss: 0.957285]\n",
            "3433 [D loss: 0.615205, acc.: 73.44%] [G loss: 0.948670]\n",
            "3434 [D loss: 0.672251, acc.: 56.25%] [G loss: 0.932249]\n",
            "3435 [D loss: 0.659880, acc.: 62.50%] [G loss: 0.957318]\n",
            "3436 [D loss: 0.646587, acc.: 65.62%] [G loss: 0.857032]\n",
            "3437 [D loss: 0.658746, acc.: 57.81%] [G loss: 0.855741]\n",
            "3438 [D loss: 0.619302, acc.: 67.19%] [G loss: 0.831884]\n",
            "3439 [D loss: 0.631887, acc.: 56.25%] [G loss: 0.964538]\n",
            "3440 [D loss: 0.625659, acc.: 62.50%] [G loss: 0.954556]\n",
            "3441 [D loss: 0.654464, acc.: 56.25%] [G loss: 0.935552]\n",
            "3442 [D loss: 0.625862, acc.: 67.19%] [G loss: 0.926810]\n",
            "3443 [D loss: 0.646817, acc.: 60.94%] [G loss: 0.878497]\n",
            "3444 [D loss: 0.621242, acc.: 65.62%] [G loss: 0.912894]\n",
            "3445 [D loss: 0.633131, acc.: 60.94%] [G loss: 0.953612]\n",
            "3446 [D loss: 0.632527, acc.: 68.75%] [G loss: 0.949550]\n",
            "3447 [D loss: 0.706527, acc.: 54.69%] [G loss: 0.870242]\n",
            "3448 [D loss: 0.624964, acc.: 65.62%] [G loss: 0.898538]\n",
            "3449 [D loss: 0.605470, acc.: 67.19%] [G loss: 0.932064]\n",
            "3450 [D loss: 0.675931, acc.: 54.69%] [G loss: 0.891610]\n",
            "3451 [D loss: 0.672222, acc.: 51.56%] [G loss: 0.873692]\n",
            "3452 [D loss: 0.686220, acc.: 57.81%] [G loss: 0.866871]\n",
            "3453 [D loss: 0.648299, acc.: 59.38%] [G loss: 0.813435]\n",
            "3454 [D loss: 0.601658, acc.: 73.44%] [G loss: 0.943775]\n",
            "3455 [D loss: 0.609106, acc.: 64.06%] [G loss: 0.871864]\n",
            "3456 [D loss: 0.635107, acc.: 56.25%] [G loss: 0.927573]\n",
            "3457 [D loss: 0.683288, acc.: 53.12%] [G loss: 0.847072]\n",
            "3458 [D loss: 0.680057, acc.: 57.81%] [G loss: 0.959390]\n",
            "3459 [D loss: 0.615875, acc.: 62.50%] [G loss: 0.873058]\n",
            "3460 [D loss: 0.679736, acc.: 64.06%] [G loss: 0.928764]\n",
            "3461 [D loss: 0.627081, acc.: 59.38%] [G loss: 0.936473]\n",
            "3462 [D loss: 0.638098, acc.: 67.19%] [G loss: 0.842248]\n",
            "3463 [D loss: 0.661969, acc.: 56.25%] [G loss: 0.883281]\n",
            "3464 [D loss: 0.648950, acc.: 59.38%] [G loss: 0.931284]\n",
            "3465 [D loss: 0.635796, acc.: 68.75%] [G loss: 0.947242]\n",
            "3466 [D loss: 0.602147, acc.: 73.44%] [G loss: 0.980920]\n",
            "3467 [D loss: 0.695208, acc.: 60.94%] [G loss: 0.853758]\n",
            "3468 [D loss: 0.639559, acc.: 67.19%] [G loss: 0.865450]\n",
            "3469 [D loss: 0.650201, acc.: 64.06%] [G loss: 0.882648]\n",
            "3470 [D loss: 0.622560, acc.: 59.38%] [G loss: 0.920641]\n",
            "3471 [D loss: 0.711672, acc.: 56.25%] [G loss: 0.953602]\n",
            "3472 [D loss: 0.661960, acc.: 57.81%] [G loss: 0.880406]\n",
            "3473 [D loss: 0.712833, acc.: 54.69%] [G loss: 0.877211]\n",
            "3474 [D loss: 0.624460, acc.: 68.75%] [G loss: 0.893714]\n",
            "3475 [D loss: 0.631400, acc.: 64.06%] [G loss: 0.931000]\n",
            "3476 [D loss: 0.654166, acc.: 59.38%] [G loss: 0.859110]\n",
            "3477 [D loss: 0.643015, acc.: 65.62%] [G loss: 0.906651]\n",
            "3478 [D loss: 0.731613, acc.: 48.44%] [G loss: 0.817720]\n",
            "3479 [D loss: 0.670235, acc.: 57.81%] [G loss: 0.892668]\n",
            "3480 [D loss: 0.655958, acc.: 62.50%] [G loss: 0.867473]\n",
            "3481 [D loss: 0.633281, acc.: 64.06%] [G loss: 0.880366]\n",
            "3482 [D loss: 0.620179, acc.: 64.06%] [G loss: 0.950817]\n",
            "3483 [D loss: 0.645407, acc.: 67.19%] [G loss: 0.925335]\n",
            "3484 [D loss: 0.715198, acc.: 56.25%] [G loss: 0.870566]\n",
            "3485 [D loss: 0.668565, acc.: 60.94%] [G loss: 0.813809]\n",
            "3486 [D loss: 0.677522, acc.: 53.12%] [G loss: 0.809172]\n",
            "3487 [D loss: 0.635738, acc.: 68.75%] [G loss: 0.928115]\n",
            "3488 [D loss: 0.657314, acc.: 64.06%] [G loss: 0.959512]\n",
            "3489 [D loss: 0.608669, acc.: 64.06%] [G loss: 0.934735]\n",
            "3490 [D loss: 0.593565, acc.: 73.44%] [G loss: 0.873448]\n",
            "3491 [D loss: 0.606878, acc.: 75.00%] [G loss: 0.936712]\n",
            "3492 [D loss: 0.667730, acc.: 62.50%] [G loss: 0.856696]\n",
            "3493 [D loss: 0.602031, acc.: 62.50%] [G loss: 0.897853]\n",
            "3494 [D loss: 0.625550, acc.: 67.19%] [G loss: 0.888710]\n",
            "3495 [D loss: 0.706227, acc.: 48.44%] [G loss: 0.847491]\n",
            "3496 [D loss: 0.663524, acc.: 56.25%] [G loss: 0.828799]\n",
            "3497 [D loss: 0.702455, acc.: 54.69%] [G loss: 0.887356]\n",
            "3498 [D loss: 0.688043, acc.: 51.56%] [G loss: 0.852913]\n",
            "3499 [D loss: 0.649315, acc.: 65.62%] [G loss: 0.858859]\n",
            "3500 [D loss: 0.651366, acc.: 60.94%] [G loss: 0.846223]\n",
            "3501 [D loss: 0.678669, acc.: 59.38%] [G loss: 0.922804]\n",
            "3502 [D loss: 0.618986, acc.: 65.62%] [G loss: 0.891829]\n",
            "3503 [D loss: 0.631530, acc.: 70.31%] [G loss: 0.916547]\n",
            "3504 [D loss: 0.609498, acc.: 73.44%] [G loss: 0.970262]\n",
            "3505 [D loss: 0.590471, acc.: 68.75%] [G loss: 0.959394]\n",
            "3506 [D loss: 0.675004, acc.: 62.50%] [G loss: 0.847677]\n",
            "3507 [D loss: 0.594477, acc.: 68.75%] [G loss: 0.808506]\n",
            "3508 [D loss: 0.668914, acc.: 56.25%] [G loss: 0.940711]\n",
            "3509 [D loss: 0.671924, acc.: 51.56%] [G loss: 0.801358]\n",
            "3510 [D loss: 0.671667, acc.: 56.25%] [G loss: 0.937108]\n",
            "3511 [D loss: 0.677602, acc.: 54.69%] [G loss: 0.909338]\n",
            "3512 [D loss: 0.649471, acc.: 59.38%] [G loss: 1.041108]\n",
            "3513 [D loss: 0.718562, acc.: 56.25%] [G loss: 0.960651]\n",
            "3514 [D loss: 0.632502, acc.: 65.62%] [G loss: 0.925984]\n",
            "3515 [D loss: 0.600430, acc.: 64.06%] [G loss: 0.943293]\n",
            "3516 [D loss: 0.629046, acc.: 68.75%] [G loss: 1.013783]\n",
            "3517 [D loss: 0.727186, acc.: 51.56%] [G loss: 0.927661]\n",
            "3518 [D loss: 0.652781, acc.: 64.06%] [G loss: 0.973334]\n",
            "3519 [D loss: 0.673231, acc.: 53.12%] [G loss: 0.973900]\n",
            "3520 [D loss: 0.648788, acc.: 64.06%] [G loss: 0.896334]\n",
            "3521 [D loss: 0.653820, acc.: 57.81%] [G loss: 1.000568]\n",
            "3522 [D loss: 0.620315, acc.: 70.31%] [G loss: 0.923904]\n",
            "3523 [D loss: 0.631046, acc.: 65.62%] [G loss: 0.891581]\n",
            "3524 [D loss: 0.586615, acc.: 76.56%] [G loss: 0.894708]\n",
            "3525 [D loss: 0.593080, acc.: 71.88%] [G loss: 0.878238]\n",
            "3526 [D loss: 0.654953, acc.: 67.19%] [G loss: 0.876847]\n",
            "3527 [D loss: 0.655835, acc.: 64.06%] [G loss: 0.812710]\n",
            "3528 [D loss: 0.662794, acc.: 59.38%] [G loss: 0.838563]\n",
            "3529 [D loss: 0.637789, acc.: 64.06%] [G loss: 0.811132]\n",
            "3530 [D loss: 0.698911, acc.: 50.00%] [G loss: 0.802966]\n",
            "3531 [D loss: 0.596370, acc.: 70.31%] [G loss: 0.893391]\n",
            "3532 [D loss: 0.581159, acc.: 68.75%] [G loss: 0.898041]\n",
            "3533 [D loss: 0.686979, acc.: 57.81%] [G loss: 0.873172]\n",
            "3534 [D loss: 0.657404, acc.: 62.50%] [G loss: 0.905432]\n",
            "3535 [D loss: 0.721226, acc.: 43.75%] [G loss: 0.930086]\n",
            "3536 [D loss: 0.580615, acc.: 82.81%] [G loss: 0.944161]\n",
            "3537 [D loss: 0.630785, acc.: 64.06%] [G loss: 0.892617]\n",
            "3538 [D loss: 0.634365, acc.: 68.75%] [G loss: 0.916681]\n",
            "3539 [D loss: 0.666885, acc.: 57.81%] [G loss: 0.899664]\n",
            "3540 [D loss: 0.636729, acc.: 67.19%] [G loss: 0.975836]\n",
            "3541 [D loss: 0.657436, acc.: 57.81%] [G loss: 0.930368]\n",
            "3542 [D loss: 0.665450, acc.: 60.94%] [G loss: 0.826319]\n",
            "3543 [D loss: 0.672002, acc.: 56.25%] [G loss: 0.847429]\n",
            "3544 [D loss: 0.668333, acc.: 59.38%] [G loss: 0.887329]\n",
            "3545 [D loss: 0.553802, acc.: 79.69%] [G loss: 0.889218]\n",
            "3546 [D loss: 0.649506, acc.: 64.06%] [G loss: 0.935260]\n",
            "3547 [D loss: 0.727210, acc.: 46.88%] [G loss: 0.875697]\n",
            "3548 [D loss: 0.655534, acc.: 54.69%] [G loss: 0.869152]\n",
            "3549 [D loss: 0.589783, acc.: 73.44%] [G loss: 0.906432]\n",
            "3550 [D loss: 0.645608, acc.: 62.50%] [G loss: 0.874535]\n",
            "3551 [D loss: 0.628252, acc.: 64.06%] [G loss: 0.823527]\n",
            "3552 [D loss: 0.693006, acc.: 53.12%] [G loss: 0.791414]\n",
            "3553 [D loss: 0.716571, acc.: 53.12%] [G loss: 0.721049]\n",
            "3554 [D loss: 0.609413, acc.: 68.75%] [G loss: 0.899551]\n",
            "3555 [D loss: 0.646879, acc.: 57.81%] [G loss: 0.811226]\n",
            "3556 [D loss: 0.675568, acc.: 64.06%] [G loss: 0.864343]\n",
            "3557 [D loss: 0.637980, acc.: 59.38%] [G loss: 0.871009]\n",
            "3558 [D loss: 0.599317, acc.: 75.00%] [G loss: 0.899315]\n",
            "3559 [D loss: 0.669556, acc.: 59.38%] [G loss: 0.917039]\n",
            "3560 [D loss: 0.645290, acc.: 62.50%] [G loss: 0.945590]\n",
            "3561 [D loss: 0.606684, acc.: 67.19%] [G loss: 0.984457]\n",
            "3562 [D loss: 0.688866, acc.: 56.25%] [G loss: 0.958478]\n",
            "3563 [D loss: 0.661785, acc.: 51.56%] [G loss: 0.870470]\n",
            "3564 [D loss: 0.647311, acc.: 67.19%] [G loss: 0.883886]\n",
            "3565 [D loss: 0.628121, acc.: 53.12%] [G loss: 0.821289]\n",
            "3566 [D loss: 0.622705, acc.: 57.81%] [G loss: 0.851431]\n",
            "3567 [D loss: 0.663427, acc.: 62.50%] [G loss: 0.960475]\n",
            "3568 [D loss: 0.693788, acc.: 59.38%] [G loss: 0.868487]\n",
            "3569 [D loss: 0.648888, acc.: 62.50%] [G loss: 0.863483]\n",
            "3570 [D loss: 0.701813, acc.: 64.06%] [G loss: 0.858326]\n",
            "3571 [D loss: 0.648721, acc.: 57.81%] [G loss: 0.895245]\n",
            "3572 [D loss: 0.615336, acc.: 71.88%] [G loss: 0.872645]\n",
            "3573 [D loss: 0.677219, acc.: 56.25%] [G loss: 0.902494]\n",
            "3574 [D loss: 0.646522, acc.: 60.94%] [G loss: 0.887754]\n",
            "3575 [D loss: 0.640488, acc.: 62.50%] [G loss: 0.914376]\n",
            "3576 [D loss: 0.661414, acc.: 56.25%] [G loss: 0.921905]\n",
            "3577 [D loss: 0.643549, acc.: 65.62%] [G loss: 0.857126]\n",
            "3578 [D loss: 0.653667, acc.: 62.50%] [G loss: 0.900890]\n",
            "3579 [D loss: 0.613791, acc.: 65.62%] [G loss: 0.922640]\n",
            "3580 [D loss: 0.662144, acc.: 59.38%] [G loss: 0.836482]\n",
            "3581 [D loss: 0.670645, acc.: 62.50%] [G loss: 0.861026]\n",
            "3582 [D loss: 0.670304, acc.: 53.12%] [G loss: 0.881623]\n",
            "3583 [D loss: 0.670640, acc.: 51.56%] [G loss: 0.869014]\n",
            "3584 [D loss: 0.667804, acc.: 65.62%] [G loss: 0.916059]\n",
            "3585 [D loss: 0.662343, acc.: 64.06%] [G loss: 0.950448]\n",
            "3586 [D loss: 0.694751, acc.: 56.25%] [G loss: 0.998399]\n",
            "3587 [D loss: 0.677741, acc.: 48.44%] [G loss: 0.885788]\n",
            "3588 [D loss: 0.642435, acc.: 60.94%] [G loss: 0.940531]\n",
            "3589 [D loss: 0.609601, acc.: 70.31%] [G loss: 0.962170]\n",
            "3590 [D loss: 0.669905, acc.: 57.81%] [G loss: 0.935184]\n",
            "3591 [D loss: 0.649840, acc.: 62.50%] [G loss: 0.983276]\n",
            "3592 [D loss: 0.745677, acc.: 50.00%] [G loss: 0.863310]\n",
            "3593 [D loss: 0.613554, acc.: 65.62%] [G loss: 0.843174]\n",
            "3594 [D loss: 0.655408, acc.: 67.19%] [G loss: 0.810159]\n",
            "3595 [D loss: 0.602101, acc.: 70.31%] [G loss: 0.830120]\n",
            "3596 [D loss: 0.622977, acc.: 67.19%] [G loss: 0.855396]\n",
            "3597 [D loss: 0.657100, acc.: 64.06%] [G loss: 0.831864]\n",
            "3598 [D loss: 0.673778, acc.: 59.38%] [G loss: 0.825178]\n",
            "3599 [D loss: 0.600644, acc.: 68.75%] [G loss: 0.867764]\n",
            "3600 [D loss: 0.633627, acc.: 70.31%] [G loss: 0.939343]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n081zf5SsmqsAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "3601 [D loss: 0.700554, acc.: 54.69%] [G loss: 0.828977]\n",
            "3602 [D loss: 0.655539, acc.: 59.38%] [G loss: 0.895190]\n",
            "3603 [D loss: 0.574584, acc.: 73.44%] [G loss: 0.904005]\n",
            "3604 [D loss: 0.659251, acc.: 62.50%] [G loss: 0.899320]\n",
            "3605 [D loss: 0.630269, acc.: 67.19%] [G loss: 0.841338]\n",
            "3606 [D loss: 0.658361, acc.: 60.94%] [G loss: 0.873226]\n",
            "3607 [D loss: 0.651399, acc.: 62.50%] [G loss: 0.938434]\n",
            "3608 [D loss: 0.644998, acc.: 57.81%] [G loss: 0.939632]\n",
            "3609 [D loss: 0.639756, acc.: 59.38%] [G loss: 0.913344]\n",
            "3610 [D loss: 0.629755, acc.: 71.88%] [G loss: 0.924262]\n",
            "3611 [D loss: 0.619098, acc.: 68.75%] [G loss: 0.883964]\n",
            "3612 [D loss: 0.622487, acc.: 62.50%] [G loss: 0.977242]\n",
            "3613 [D loss: 0.623962, acc.: 64.06%] [G loss: 0.934417]\n",
            "3614 [D loss: 0.626470, acc.: 64.06%] [G loss: 0.931259]\n",
            "3615 [D loss: 0.676097, acc.: 54.69%] [G loss: 0.926812]\n",
            "3616 [D loss: 0.725135, acc.: 48.44%] [G loss: 0.860065]\n",
            "3617 [D loss: 0.656620, acc.: 56.25%] [G loss: 0.934387]\n",
            "3618 [D loss: 0.645039, acc.: 64.06%] [G loss: 1.014792]\n",
            "3619 [D loss: 0.644435, acc.: 70.31%] [G loss: 0.827873]\n",
            "3620 [D loss: 0.574003, acc.: 70.31%] [G loss: 0.914611]\n",
            "3621 [D loss: 0.629009, acc.: 65.62%] [G loss: 0.896935]\n",
            "3622 [D loss: 0.676372, acc.: 59.38%] [G loss: 0.914842]\n",
            "3623 [D loss: 0.658736, acc.: 62.50%] [G loss: 0.819914]\n",
            "3624 [D loss: 0.620693, acc.: 62.50%] [G loss: 0.899667]\n",
            "3625 [D loss: 0.591505, acc.: 68.75%] [G loss: 0.939919]\n",
            "3626 [D loss: 0.584480, acc.: 76.56%] [G loss: 0.973220]\n",
            "3627 [D loss: 0.628918, acc.: 64.06%] [G loss: 0.911192]\n",
            "3628 [D loss: 0.757605, acc.: 50.00%] [G loss: 0.901964]\n",
            "3629 [D loss: 0.664666, acc.: 59.38%] [G loss: 0.881241]\n",
            "3630 [D loss: 0.699462, acc.: 57.81%] [G loss: 0.926935]\n",
            "3631 [D loss: 0.619031, acc.: 64.06%] [G loss: 0.872040]\n",
            "3632 [D loss: 0.643938, acc.: 59.38%] [G loss: 0.841075]\n",
            "3633 [D loss: 0.676588, acc.: 59.38%] [G loss: 0.879931]\n",
            "3634 [D loss: 0.648675, acc.: 54.69%] [G loss: 0.865668]\n",
            "3635 [D loss: 0.630257, acc.: 68.75%] [G loss: 0.880577]\n",
            "3636 [D loss: 0.667371, acc.: 65.62%] [G loss: 0.863128]\n",
            "3637 [D loss: 0.634704, acc.: 68.75%] [G loss: 0.881822]\n",
            "3638 [D loss: 0.656298, acc.: 64.06%] [G loss: 0.930936]\n",
            "3639 [D loss: 0.707361, acc.: 45.31%] [G loss: 0.803756]\n",
            "3640 [D loss: 0.662223, acc.: 56.25%] [G loss: 0.904758]\n",
            "3641 [D loss: 0.629530, acc.: 64.06%] [G loss: 0.904808]\n",
            "3642 [D loss: 0.618923, acc.: 70.31%] [G loss: 0.855986]\n",
            "3643 [D loss: 0.681680, acc.: 59.38%] [G loss: 0.874863]\n",
            "3644 [D loss: 0.591136, acc.: 76.56%] [G loss: 0.911561]\n",
            "3645 [D loss: 0.633219, acc.: 60.94%] [G loss: 0.930355]\n",
            "3646 [D loss: 0.568705, acc.: 70.31%] [G loss: 0.965392]\n",
            "3647 [D loss: 0.676803, acc.: 60.94%] [G loss: 0.896267]\n",
            "3648 [D loss: 0.662908, acc.: 64.06%] [G loss: 0.984975]\n",
            "3649 [D loss: 0.665209, acc.: 59.38%] [G loss: 1.044894]\n",
            "3650 [D loss: 0.655381, acc.: 62.50%] [G loss: 0.952704]\n",
            "3651 [D loss: 0.627230, acc.: 68.75%] [G loss: 0.932798]\n",
            "3652 [D loss: 0.637581, acc.: 56.25%] [G loss: 0.953786]\n",
            "3653 [D loss: 0.644122, acc.: 57.81%] [G loss: 0.950339]\n",
            "3654 [D loss: 0.662462, acc.: 59.38%] [G loss: 0.883321]\n",
            "3655 [D loss: 0.655643, acc.: 60.94%] [G loss: 1.034166]\n",
            "3656 [D loss: 0.606052, acc.: 64.06%] [G loss: 0.973171]\n",
            "3657 [D loss: 0.664092, acc.: 56.25%] [G loss: 0.862912]\n",
            "3658 [D loss: 0.718504, acc.: 56.25%] [G loss: 0.835373]\n",
            "3659 [D loss: 0.592651, acc.: 71.88%] [G loss: 0.841462]\n",
            "3660 [D loss: 0.669084, acc.: 59.38%] [G loss: 0.866794]\n",
            "3661 [D loss: 0.694458, acc.: 57.81%] [G loss: 0.895972]\n",
            "3662 [D loss: 0.672011, acc.: 67.19%] [G loss: 0.891366]\n",
            "3663 [D loss: 0.642001, acc.: 62.50%] [G loss: 0.858764]\n",
            "3664 [D loss: 0.680359, acc.: 54.69%] [G loss: 0.946888]\n",
            "3665 [D loss: 0.646536, acc.: 54.69%] [G loss: 0.865465]\n",
            "3666 [D loss: 0.644209, acc.: 59.38%] [G loss: 0.864230]\n",
            "3667 [D loss: 0.598877, acc.: 75.00%] [G loss: 0.887772]\n",
            "3668 [D loss: 0.675516, acc.: 51.56%] [G loss: 0.926402]\n",
            "3669 [D loss: 0.654259, acc.: 60.94%] [G loss: 0.899285]\n",
            "3670 [D loss: 0.610761, acc.: 73.44%] [G loss: 0.949529]\n",
            "3671 [D loss: 0.671912, acc.: 60.94%] [G loss: 0.896843]\n",
            "3672 [D loss: 0.614724, acc.: 70.31%] [G loss: 0.851960]\n",
            "3673 [D loss: 0.689156, acc.: 48.44%] [G loss: 0.834280]\n",
            "3674 [D loss: 0.694603, acc.: 48.44%] [G loss: 0.891072]\n",
            "3675 [D loss: 0.672628, acc.: 59.38%] [G loss: 0.872591]\n",
            "3676 [D loss: 0.701661, acc.: 50.00%] [G loss: 0.837585]\n",
            "3677 [D loss: 0.674206, acc.: 57.81%] [G loss: 0.843083]\n",
            "3678 [D loss: 0.632580, acc.: 62.50%] [G loss: 0.846568]\n",
            "3679 [D loss: 0.615463, acc.: 70.31%] [G loss: 0.922435]\n",
            "3680 [D loss: 0.661184, acc.: 59.38%] [G loss: 0.894520]\n",
            "3681 [D loss: 0.665689, acc.: 59.38%] [G loss: 0.873783]\n",
            "3682 [D loss: 0.644767, acc.: 73.44%] [G loss: 0.921076]\n",
            "3683 [D loss: 0.654790, acc.: 60.94%] [G loss: 0.869498]\n",
            "3684 [D loss: 0.535179, acc.: 75.00%] [G loss: 0.880082]\n",
            "3685 [D loss: 0.688236, acc.: 50.00%] [G loss: 0.918154]\n",
            "3686 [D loss: 0.635429, acc.: 60.94%] [G loss: 0.937163]\n",
            "3687 [D loss: 0.682646, acc.: 48.44%] [G loss: 0.983366]\n",
            "3688 [D loss: 0.622545, acc.: 64.06%] [G loss: 0.958954]\n",
            "3689 [D loss: 0.654011, acc.: 62.50%] [G loss: 0.950874]\n",
            "3690 [D loss: 0.622659, acc.: 50.00%] [G loss: 1.010267]\n",
            "3691 [D loss: 0.650339, acc.: 60.94%] [G loss: 1.010116]\n",
            "3692 [D loss: 0.674627, acc.: 65.62%] [G loss: 0.950323]\n",
            "3693 [D loss: 0.586038, acc.: 70.31%] [G loss: 0.903877]\n",
            "3694 [D loss: 0.593375, acc.: 68.75%] [G loss: 0.882584]\n",
            "3695 [D loss: 0.643941, acc.: 62.50%] [G loss: 0.854685]\n",
            "3696 [D loss: 0.696387, acc.: 57.81%] [G loss: 0.881752]\n",
            "3697 [D loss: 0.698980, acc.: 57.81%] [G loss: 0.897210]\n",
            "3698 [D loss: 0.622284, acc.: 70.31%] [G loss: 0.930521]\n",
            "3699 [D loss: 0.634586, acc.: 62.50%] [G loss: 0.953929]\n",
            "3700 [D loss: 0.654008, acc.: 62.50%] [G loss: 0.995659]\n",
            "3701 [D loss: 0.646210, acc.: 54.69%] [G loss: 0.911863]\n",
            "3702 [D loss: 0.664452, acc.: 62.50%] [G loss: 0.872533]\n",
            "3703 [D loss: 0.630361, acc.: 59.38%] [G loss: 0.925446]\n",
            "3704 [D loss: 0.651238, acc.: 60.94%] [G loss: 0.824654]\n",
            "3705 [D loss: 0.663808, acc.: 62.50%] [G loss: 0.845669]\n",
            "3706 [D loss: 0.668168, acc.: 54.69%] [G loss: 0.901378]\n",
            "3707 [D loss: 0.607474, acc.: 68.75%] [G loss: 0.936329]\n",
            "3708 [D loss: 0.648229, acc.: 65.62%] [G loss: 0.856414]\n",
            "3709 [D loss: 0.633346, acc.: 62.50%] [G loss: 1.024055]\n",
            "3710 [D loss: 0.619314, acc.: 68.75%] [G loss: 0.919078]\n",
            "3711 [D loss: 0.600068, acc.: 70.31%] [G loss: 0.855722]\n",
            "3712 [D loss: 0.632102, acc.: 59.38%] [G loss: 0.876323]\n",
            "3713 [D loss: 0.639082, acc.: 60.94%] [G loss: 0.789944]\n",
            "3714 [D loss: 0.587067, acc.: 68.75%] [G loss: 0.923897]\n",
            "3715 [D loss: 0.627622, acc.: 62.50%] [G loss: 0.796383]\n",
            "3716 [D loss: 0.673056, acc.: 65.62%] [G loss: 0.905941]\n",
            "3717 [D loss: 0.669179, acc.: 53.12%] [G loss: 0.823307]\n",
            "3718 [D loss: 0.688508, acc.: 60.94%] [G loss: 0.892772]\n",
            "3719 [D loss: 0.702639, acc.: 59.38%] [G loss: 0.831663]\n",
            "3720 [D loss: 0.707064, acc.: 54.69%] [G loss: 0.962067]\n",
            "3721 [D loss: 0.646217, acc.: 57.81%] [G loss: 0.926621]\n",
            "3722 [D loss: 0.622782, acc.: 67.19%] [G loss: 0.938016]\n",
            "3723 [D loss: 0.676481, acc.: 54.69%] [G loss: 0.918372]\n",
            "3724 [D loss: 0.660527, acc.: 54.69%] [G loss: 0.935549]\n",
            "3725 [D loss: 0.595014, acc.: 68.75%] [G loss: 0.919854]\n",
            "3726 [D loss: 0.708045, acc.: 51.56%] [G loss: 0.932470]\n",
            "3727 [D loss: 0.656223, acc.: 62.50%] [G loss: 0.893522]\n",
            "3728 [D loss: 0.672896, acc.: 57.81%] [G loss: 0.832436]\n",
            "3729 [D loss: 0.626429, acc.: 60.94%] [G loss: 0.905353]\n",
            "3730 [D loss: 0.740320, acc.: 50.00%] [G loss: 0.905000]\n",
            "3731 [D loss: 0.648790, acc.: 60.94%] [G loss: 0.897525]\n",
            "3732 [D loss: 0.709024, acc.: 50.00%] [G loss: 0.877342]\n",
            "3733 [D loss: 0.618925, acc.: 64.06%] [G loss: 0.897421]\n",
            "3734 [D loss: 0.622529, acc.: 64.06%] [G loss: 0.871083]\n",
            "3735 [D loss: 0.729997, acc.: 39.06%] [G loss: 0.879141]\n",
            "3736 [D loss: 0.638850, acc.: 67.19%] [G loss: 0.894788]\n",
            "3737 [D loss: 0.619667, acc.: 62.50%] [G loss: 0.947583]\n",
            "3738 [D loss: 0.658692, acc.: 57.81%] [G loss: 1.023854]\n",
            "3739 [D loss: 0.672736, acc.: 54.69%] [G loss: 0.929960]\n",
            "3740 [D loss: 0.617082, acc.: 67.19%] [G loss: 0.910625]\n",
            "3741 [D loss: 0.681079, acc.: 50.00%] [G loss: 0.861547]\n",
            "3742 [D loss: 0.625787, acc.: 67.19%] [G loss: 0.879292]\n",
            "3743 [D loss: 0.633898, acc.: 64.06%] [G loss: 0.924971]\n",
            "3744 [D loss: 0.689972, acc.: 57.81%] [G loss: 0.881509]\n",
            "3745 [D loss: 0.562226, acc.: 75.00%] [G loss: 0.937196]\n",
            "3746 [D loss: 0.613904, acc.: 68.75%] [G loss: 0.923685]\n",
            "3747 [D loss: 0.618140, acc.: 67.19%] [G loss: 0.913331]\n",
            "3748 [D loss: 0.693502, acc.: 62.50%] [G loss: 0.834663]\n",
            "3749 [D loss: 0.676121, acc.: 59.38%] [G loss: 1.008776]\n",
            "3750 [D loss: 0.653999, acc.: 65.62%] [G loss: 0.849548]\n",
            "3751 [D loss: 0.642337, acc.: 71.88%] [G loss: 0.941262]\n",
            "3752 [D loss: 0.638263, acc.: 62.50%] [G loss: 0.875098]\n",
            "3753 [D loss: 0.652428, acc.: 50.00%] [G loss: 0.943540]\n",
            "3754 [D loss: 0.640080, acc.: 64.06%] [G loss: 0.887178]\n",
            "3755 [D loss: 0.627307, acc.: 76.56%] [G loss: 0.937886]\n",
            "3756 [D loss: 0.628414, acc.: 62.50%] [G loss: 0.863634]\n",
            "3757 [D loss: 0.697090, acc.: 56.25%] [G loss: 0.937703]\n",
            "3758 [D loss: 0.668742, acc.: 57.81%] [G loss: 0.895703]\n",
            "3759 [D loss: 0.692732, acc.: 51.56%] [G loss: 0.913009]\n",
            "3760 [D loss: 0.675951, acc.: 62.50%] [G loss: 0.800633]\n",
            "3761 [D loss: 0.665657, acc.: 65.62%] [G loss: 0.966055]\n",
            "3762 [D loss: 0.667121, acc.: 60.94%] [G loss: 0.801639]\n",
            "3763 [D loss: 0.650545, acc.: 57.81%] [G loss: 0.861589]\n",
            "3764 [D loss: 0.675108, acc.: 59.38%] [G loss: 0.940199]\n",
            "3765 [D loss: 0.620001, acc.: 64.06%] [G loss: 0.874820]\n",
            "3766 [D loss: 0.627592, acc.: 64.06%] [G loss: 0.930825]\n",
            "3767 [D loss: 0.624061, acc.: 68.75%] [G loss: 0.960142]\n",
            "3768 [D loss: 0.705597, acc.: 54.69%] [G loss: 0.923144]\n",
            "3769 [D loss: 0.718310, acc.: 45.31%] [G loss: 0.935328]\n",
            "3770 [D loss: 0.673816, acc.: 57.81%] [G loss: 0.832928]\n",
            "3771 [D loss: 0.662409, acc.: 54.69%] [G loss: 0.783924]\n",
            "3772 [D loss: 0.630892, acc.: 64.06%] [G loss: 0.884456]\n",
            "3773 [D loss: 0.614711, acc.: 65.62%] [G loss: 0.830389]\n",
            "3774 [D loss: 0.607825, acc.: 64.06%] [G loss: 0.842169]\n",
            "3775 [D loss: 0.631034, acc.: 57.81%] [G loss: 0.854677]\n",
            "3776 [D loss: 0.647502, acc.: 67.19%] [G loss: 0.824237]\n",
            "3777 [D loss: 0.685993, acc.: 51.56%] [G loss: 0.895738]\n",
            "3778 [D loss: 0.650709, acc.: 60.94%] [G loss: 0.890279]\n",
            "3779 [D loss: 0.651458, acc.: 51.56%] [G loss: 0.901114]\n",
            "3780 [D loss: 0.628866, acc.: 67.19%] [G loss: 0.987204]\n",
            "3781 [D loss: 0.733159, acc.: 53.12%] [G loss: 0.975385]\n",
            "3782 [D loss: 0.642600, acc.: 65.62%] [G loss: 0.943388]\n",
            "3783 [D loss: 0.595926, acc.: 79.69%] [G loss: 0.933534]\n",
            "3784 [D loss: 0.651076, acc.: 62.50%] [G loss: 0.922217]\n",
            "3785 [D loss: 0.658759, acc.: 64.06%] [G loss: 0.937556]\n",
            "3786 [D loss: 0.671062, acc.: 56.25%] [G loss: 0.889010]\n",
            "3787 [D loss: 0.635367, acc.: 67.19%] [G loss: 0.925323]\n",
            "3788 [D loss: 0.635177, acc.: 64.06%] [G loss: 0.858786]\n",
            "3789 [D loss: 0.641602, acc.: 65.62%] [G loss: 0.868964]\n",
            "3790 [D loss: 0.582673, acc.: 73.44%] [G loss: 0.827230]\n",
            "3791 [D loss: 0.653209, acc.: 56.25%] [G loss: 0.849995]\n",
            "3792 [D loss: 0.637325, acc.: 68.75%] [G loss: 0.850794]\n",
            "3793 [D loss: 0.635805, acc.: 65.62%] [G loss: 0.850620]\n",
            "3794 [D loss: 0.627149, acc.: 65.62%] [G loss: 0.871925]\n",
            "3795 [D loss: 0.679275, acc.: 56.25%] [G loss: 0.958394]\n",
            "3796 [D loss: 0.613455, acc.: 70.31%] [G loss: 0.916077]\n",
            "3797 [D loss: 0.641917, acc.: 62.50%] [G loss: 0.905269]\n",
            "3798 [D loss: 0.621341, acc.: 60.94%] [G loss: 0.892403]\n",
            "3799 [D loss: 0.683258, acc.: 54.69%] [G loss: 0.849607]\n",
            "3800 [D loss: 0.626404, acc.: 60.94%] [G loss: 0.871307]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKNBmJ4SIgv8BLuvUZbTKm0gAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "3801 [D loss: 0.650316, acc.: 60.94%] [G loss: 0.901507]\n",
            "3802 [D loss: 0.701467, acc.: 53.12%] [G loss: 0.983289]\n",
            "3803 [D loss: 0.681843, acc.: 51.56%] [G loss: 0.968514]\n",
            "3804 [D loss: 0.677328, acc.: 56.25%] [G loss: 1.035858]\n",
            "3805 [D loss: 0.646708, acc.: 57.81%] [G loss: 0.943146]\n",
            "3806 [D loss: 0.632709, acc.: 64.06%] [G loss: 0.945391]\n",
            "3807 [D loss: 0.731528, acc.: 48.44%] [G loss: 0.944799]\n",
            "3808 [D loss: 0.671886, acc.: 60.94%] [G loss: 0.817899]\n",
            "3809 [D loss: 0.611035, acc.: 64.06%] [G loss: 0.836016]\n",
            "3810 [D loss: 0.640765, acc.: 67.19%] [G loss: 0.824434]\n",
            "3811 [D loss: 0.697840, acc.: 53.12%] [G loss: 0.859994]\n",
            "3812 [D loss: 0.617214, acc.: 64.06%] [G loss: 0.925990]\n",
            "3813 [D loss: 0.676045, acc.: 60.94%] [G loss: 0.881395]\n",
            "3814 [D loss: 0.662752, acc.: 56.25%] [G loss: 0.912049]\n",
            "3815 [D loss: 0.640975, acc.: 65.62%] [G loss: 0.859720]\n",
            "3816 [D loss: 0.646124, acc.: 62.50%] [G loss: 0.954229]\n",
            "3817 [D loss: 0.650095, acc.: 57.81%] [G loss: 0.975170]\n",
            "3818 [D loss: 0.685838, acc.: 57.81%] [G loss: 0.940505]\n",
            "3819 [D loss: 0.645761, acc.: 60.94%] [G loss: 0.857250]\n",
            "3820 [D loss: 0.706613, acc.: 56.25%] [G loss: 0.940467]\n",
            "3821 [D loss: 0.662292, acc.: 56.25%] [G loss: 0.948437]\n",
            "3822 [D loss: 0.622806, acc.: 64.06%] [G loss: 0.860881]\n",
            "3823 [D loss: 0.609479, acc.: 71.88%] [G loss: 0.912735]\n",
            "3824 [D loss: 0.662209, acc.: 57.81%] [G loss: 0.889428]\n",
            "3825 [D loss: 0.617955, acc.: 67.19%] [G loss: 0.930958]\n",
            "3826 [D loss: 0.686786, acc.: 51.56%] [G loss: 0.890717]\n",
            "3827 [D loss: 0.715415, acc.: 48.44%] [G loss: 0.920772]\n",
            "3828 [D loss: 0.623695, acc.: 60.94%] [G loss: 0.905114]\n",
            "3829 [D loss: 0.633881, acc.: 67.19%] [G loss: 0.902602]\n",
            "3830 [D loss: 0.681179, acc.: 57.81%] [G loss: 0.918706]\n",
            "3831 [D loss: 0.646783, acc.: 65.62%] [G loss: 1.001713]\n",
            "3832 [D loss: 0.655633, acc.: 57.81%] [G loss: 0.923467]\n",
            "3833 [D loss: 0.696967, acc.: 57.81%] [G loss: 0.857411]\n",
            "3834 [D loss: 0.630887, acc.: 60.94%] [G loss: 0.875953]\n",
            "3835 [D loss: 0.708479, acc.: 60.94%] [G loss: 0.950955]\n",
            "3836 [D loss: 0.592836, acc.: 75.00%] [G loss: 0.887190]\n",
            "3837 [D loss: 0.623950, acc.: 65.62%] [G loss: 0.792360]\n",
            "3838 [D loss: 0.798000, acc.: 43.75%] [G loss: 0.865654]\n",
            "3839 [D loss: 0.663402, acc.: 60.94%] [G loss: 0.893710]\n",
            "3840 [D loss: 0.563742, acc.: 76.56%] [G loss: 0.876042]\n",
            "3841 [D loss: 0.654169, acc.: 60.94%] [G loss: 0.863099]\n",
            "3842 [D loss: 0.695801, acc.: 51.56%] [G loss: 0.962342]\n",
            "3843 [D loss: 0.648700, acc.: 62.50%] [G loss: 0.942892]\n",
            "3844 [D loss: 0.636117, acc.: 65.62%] [G loss: 0.884662]\n",
            "3845 [D loss: 0.564029, acc.: 78.12%] [G loss: 0.864218]\n",
            "3846 [D loss: 0.651167, acc.: 59.38%] [G loss: 0.857572]\n",
            "3847 [D loss: 0.718285, acc.: 50.00%] [G loss: 0.878591]\n",
            "3848 [D loss: 0.592891, acc.: 73.44%] [G loss: 0.818833]\n",
            "3849 [D loss: 0.667018, acc.: 54.69%] [G loss: 0.877944]\n",
            "3850 [D loss: 0.659309, acc.: 59.38%] [G loss: 0.843498]\n",
            "3851 [D loss: 0.709604, acc.: 53.12%] [G loss: 0.838286]\n",
            "3852 [D loss: 0.648929, acc.: 68.75%] [G loss: 0.838357]\n",
            "3853 [D loss: 0.603763, acc.: 71.88%] [G loss: 0.847640]\n",
            "3854 [D loss: 0.666592, acc.: 62.50%] [G loss: 0.902215]\n",
            "3855 [D loss: 0.616860, acc.: 60.94%] [G loss: 0.844392]\n",
            "3856 [D loss: 0.646278, acc.: 64.06%] [G loss: 0.904034]\n",
            "3857 [D loss: 0.641738, acc.: 62.50%] [G loss: 0.879288]\n",
            "3858 [D loss: 0.663531, acc.: 59.38%] [G loss: 0.890736]\n",
            "3859 [D loss: 0.649910, acc.: 62.50%] [G loss: 0.934838]\n",
            "3860 [D loss: 0.614500, acc.: 65.62%] [G loss: 0.915362]\n",
            "3861 [D loss: 0.670901, acc.: 62.50%] [G loss: 0.843026]\n",
            "3862 [D loss: 0.663998, acc.: 53.12%] [G loss: 0.841282]\n",
            "3863 [D loss: 0.646680, acc.: 64.06%] [G loss: 0.746639]\n",
            "3864 [D loss: 0.632156, acc.: 65.62%] [G loss: 0.845757]\n",
            "3865 [D loss: 0.656808, acc.: 54.69%] [G loss: 0.845993]\n",
            "3866 [D loss: 0.685575, acc.: 56.25%] [G loss: 0.925811]\n",
            "3867 [D loss: 0.642737, acc.: 64.06%] [G loss: 0.881842]\n",
            "3868 [D loss: 0.646478, acc.: 62.50%] [G loss: 0.891331]\n",
            "3869 [D loss: 0.724976, acc.: 56.25%] [G loss: 0.955048]\n",
            "3870 [D loss: 0.613088, acc.: 70.31%] [G loss: 0.970478]\n",
            "3871 [D loss: 0.637634, acc.: 68.75%] [G loss: 0.937161]\n",
            "3872 [D loss: 0.610075, acc.: 67.19%] [G loss: 0.991612]\n",
            "3873 [D loss: 0.602646, acc.: 71.88%] [G loss: 0.870598]\n",
            "3874 [D loss: 0.645794, acc.: 62.50%] [G loss: 0.933613]\n",
            "3875 [D loss: 0.620655, acc.: 70.31%] [G loss: 0.912368]\n",
            "3876 [D loss: 0.610849, acc.: 62.50%] [G loss: 0.915320]\n",
            "3877 [D loss: 0.721461, acc.: 50.00%] [G loss: 0.828993]\n",
            "3878 [D loss: 0.616248, acc.: 73.44%] [G loss: 0.950696]\n",
            "3879 [D loss: 0.611708, acc.: 75.00%] [G loss: 0.864265]\n",
            "3880 [D loss: 0.687472, acc.: 59.38%] [G loss: 0.870099]\n",
            "3881 [D loss: 0.624666, acc.: 64.06%] [G loss: 0.887768]\n",
            "3882 [D loss: 0.603515, acc.: 76.56%] [G loss: 0.844329]\n",
            "3883 [D loss: 0.621953, acc.: 64.06%] [G loss: 0.856149]\n",
            "3884 [D loss: 0.670853, acc.: 53.12%] [G loss: 0.799973]\n",
            "3885 [D loss: 0.650238, acc.: 64.06%] [G loss: 0.857459]\n",
            "3886 [D loss: 0.603221, acc.: 62.50%] [G loss: 0.960000]\n",
            "3887 [D loss: 0.682791, acc.: 51.56%] [G loss: 0.899128]\n",
            "3888 [D loss: 0.647965, acc.: 64.06%] [G loss: 0.891085]\n",
            "3889 [D loss: 0.622602, acc.: 70.31%] [G loss: 0.884306]\n",
            "3890 [D loss: 0.685258, acc.: 51.56%] [G loss: 0.875682]\n",
            "3891 [D loss: 0.669272, acc.: 65.62%] [G loss: 0.913997]\n",
            "3892 [D loss: 0.639553, acc.: 64.06%] [G loss: 0.834321]\n",
            "3893 [D loss: 0.716763, acc.: 45.31%] [G loss: 0.878329]\n",
            "3894 [D loss: 0.641257, acc.: 60.94%] [G loss: 0.894204]\n",
            "3895 [D loss: 0.603220, acc.: 68.75%] [G loss: 0.949162]\n",
            "3896 [D loss: 0.666890, acc.: 60.94%] [G loss: 0.866010]\n",
            "3897 [D loss: 0.671321, acc.: 62.50%] [G loss: 0.874473]\n",
            "3898 [D loss: 0.688096, acc.: 60.94%] [G loss: 0.845702]\n",
            "3899 [D loss: 0.686722, acc.: 56.25%] [G loss: 0.826901]\n",
            "3900 [D loss: 0.680765, acc.: 48.44%] [G loss: 0.806881]\n",
            "3901 [D loss: 0.628690, acc.: 65.62%] [G loss: 0.915504]\n",
            "3902 [D loss: 0.677192, acc.: 62.50%] [G loss: 0.822597]\n",
            "3903 [D loss: 0.661080, acc.: 53.12%] [G loss: 0.849705]\n",
            "3904 [D loss: 0.693250, acc.: 59.38%] [G loss: 0.853737]\n",
            "3905 [D loss: 0.610793, acc.: 68.75%] [G loss: 0.909065]\n",
            "3906 [D loss: 0.657229, acc.: 60.94%] [G loss: 0.947302]\n",
            "3907 [D loss: 0.647653, acc.: 57.81%] [G loss: 0.848580]\n",
            "3908 [D loss: 0.643167, acc.: 57.81%] [G loss: 0.844115]\n",
            "3909 [D loss: 0.705890, acc.: 64.06%] [G loss: 0.880527]\n",
            "3910 [D loss: 0.648418, acc.: 60.94%] [G loss: 0.871879]\n",
            "3911 [D loss: 0.662181, acc.: 54.69%] [G loss: 0.982392]\n",
            "3912 [D loss: 0.528007, acc.: 81.25%] [G loss: 0.843926]\n",
            "3913 [D loss: 0.705011, acc.: 54.69%] [G loss: 0.923140]\n",
            "3914 [D loss: 0.644928, acc.: 59.38%] [G loss: 0.887787]\n",
            "3915 [D loss: 0.650033, acc.: 64.06%] [G loss: 0.873760]\n",
            "3916 [D loss: 0.668103, acc.: 65.62%] [G loss: 0.904368]\n",
            "3917 [D loss: 0.733057, acc.: 48.44%] [G loss: 0.843266]\n",
            "3918 [D loss: 0.600675, acc.: 67.19%] [G loss: 0.912808]\n",
            "3919 [D loss: 0.657535, acc.: 54.69%] [G loss: 0.815569]\n",
            "3920 [D loss: 0.657016, acc.: 62.50%] [G loss: 0.892086]\n",
            "3921 [D loss: 0.722100, acc.: 57.81%] [G loss: 0.889956]\n",
            "3922 [D loss: 0.591001, acc.: 75.00%] [G loss: 0.925865]\n",
            "3923 [D loss: 0.719616, acc.: 53.12%] [G loss: 0.914276]\n",
            "3924 [D loss: 0.656616, acc.: 65.62%] [G loss: 0.989762]\n",
            "3925 [D loss: 0.651904, acc.: 65.62%] [G loss: 0.923617]\n",
            "3926 [D loss: 0.611794, acc.: 76.56%] [G loss: 0.948930]\n",
            "3927 [D loss: 0.665023, acc.: 56.25%] [G loss: 0.943041]\n",
            "3928 [D loss: 0.643281, acc.: 70.31%] [G loss: 0.800174]\n",
            "3929 [D loss: 0.605726, acc.: 75.00%] [G loss: 0.871986]\n",
            "3930 [D loss: 0.619141, acc.: 68.75%] [G loss: 0.940773]\n",
            "3931 [D loss: 0.627947, acc.: 62.50%] [G loss: 0.880533]\n",
            "3932 [D loss: 0.634481, acc.: 62.50%] [G loss: 0.941162]\n",
            "3933 [D loss: 0.682791, acc.: 70.31%] [G loss: 0.904561]\n",
            "3934 [D loss: 0.616032, acc.: 68.75%] [G loss: 0.913676]\n",
            "3935 [D loss: 0.594024, acc.: 71.88%] [G loss: 0.870329]\n",
            "3936 [D loss: 0.623288, acc.: 64.06%] [G loss: 0.932472]\n",
            "3937 [D loss: 0.625812, acc.: 62.50%] [G loss: 0.896665]\n",
            "3938 [D loss: 0.727145, acc.: 54.69%] [G loss: 0.909125]\n",
            "3939 [D loss: 0.577481, acc.: 71.88%] [G loss: 0.876087]\n",
            "3940 [D loss: 0.679452, acc.: 54.69%] [G loss: 0.893942]\n",
            "3941 [D loss: 0.605780, acc.: 67.19%] [G loss: 0.853184]\n",
            "3942 [D loss: 0.679366, acc.: 59.38%] [G loss: 0.942807]\n",
            "3943 [D loss: 0.596059, acc.: 64.06%] [G loss: 0.923004]\n",
            "3944 [D loss: 0.652739, acc.: 57.81%] [G loss: 0.865641]\n",
            "3945 [D loss: 0.641253, acc.: 56.25%] [G loss: 0.965562]\n",
            "3946 [D loss: 0.560121, acc.: 76.56%] [G loss: 1.026450]\n",
            "3947 [D loss: 0.629472, acc.: 70.31%] [G loss: 0.950547]\n",
            "3948 [D loss: 0.652159, acc.: 62.50%] [G loss: 0.876777]\n",
            "3949 [D loss: 0.713692, acc.: 53.12%] [G loss: 0.930701]\n",
            "3950 [D loss: 0.758283, acc.: 50.00%] [G loss: 0.954250]\n",
            "3951 [D loss: 0.697635, acc.: 60.94%] [G loss: 0.912797]\n",
            "3952 [D loss: 0.632855, acc.: 67.19%] [G loss: 0.876683]\n",
            "3953 [D loss: 0.643695, acc.: 60.94%] [G loss: 0.883865]\n",
            "3954 [D loss: 0.687111, acc.: 57.81%] [G loss: 0.943416]\n",
            "3955 [D loss: 0.621247, acc.: 64.06%] [G loss: 0.943994]\n",
            "3956 [D loss: 0.647391, acc.: 60.94%] [G loss: 0.878519]\n",
            "3957 [D loss: 0.622520, acc.: 68.75%] [G loss: 0.917831]\n",
            "3958 [D loss: 0.684881, acc.: 53.12%] [G loss: 0.924752]\n",
            "3959 [D loss: 0.618955, acc.: 71.88%] [G loss: 0.925754]\n",
            "3960 [D loss: 0.635209, acc.: 68.75%] [G loss: 0.928169]\n",
            "3961 [D loss: 0.655756, acc.: 54.69%] [G loss: 0.959745]\n",
            "3962 [D loss: 0.676736, acc.: 50.00%] [G loss: 0.857787]\n",
            "3963 [D loss: 0.747136, acc.: 45.31%] [G loss: 0.825033]\n",
            "3964 [D loss: 0.657731, acc.: 53.12%] [G loss: 1.036509]\n",
            "3965 [D loss: 0.658846, acc.: 64.06%] [G loss: 0.837717]\n",
            "3966 [D loss: 0.667233, acc.: 62.50%] [G loss: 0.834510]\n",
            "3967 [D loss: 0.588721, acc.: 75.00%] [G loss: 0.886377]\n",
            "3968 [D loss: 0.701726, acc.: 56.25%] [G loss: 0.888353]\n",
            "3969 [D loss: 0.720816, acc.: 57.81%] [G loss: 0.889475]\n",
            "3970 [D loss: 0.625006, acc.: 67.19%] [G loss: 0.927188]\n",
            "3971 [D loss: 0.699710, acc.: 53.12%] [G loss: 0.924768]\n",
            "3972 [D loss: 0.617925, acc.: 70.31%] [G loss: 0.931464]\n",
            "3973 [D loss: 0.680984, acc.: 53.12%] [G loss: 0.930503]\n",
            "3974 [D loss: 0.623847, acc.: 68.75%] [G loss: 0.893691]\n",
            "3975 [D loss: 0.657690, acc.: 56.25%] [G loss: 0.900826]\n",
            "3976 [D loss: 0.632828, acc.: 62.50%] [G loss: 0.861441]\n",
            "3977 [D loss: 0.659162, acc.: 64.06%] [G loss: 0.825501]\n",
            "3978 [D loss: 0.640147, acc.: 62.50%] [G loss: 0.802380]\n",
            "3979 [D loss: 0.705745, acc.: 45.31%] [G loss: 0.851131]\n",
            "3980 [D loss: 0.652221, acc.: 64.06%] [G loss: 0.913949]\n",
            "3981 [D loss: 0.660767, acc.: 57.81%] [G loss: 0.916684]\n",
            "3982 [D loss: 0.695379, acc.: 48.44%] [G loss: 0.867495]\n",
            "3983 [D loss: 0.628442, acc.: 68.75%] [G loss: 0.892271]\n",
            "3984 [D loss: 0.733252, acc.: 54.69%] [G loss: 0.985659]\n",
            "3985 [D loss: 0.645273, acc.: 68.75%] [G loss: 0.895785]\n",
            "3986 [D loss: 0.631422, acc.: 60.94%] [G loss: 0.883094]\n",
            "3987 [D loss: 0.686612, acc.: 53.12%] [G loss: 0.824114]\n",
            "3988 [D loss: 0.653003, acc.: 60.94%] [G loss: 0.830141]\n",
            "3989 [D loss: 0.658123, acc.: 67.19%] [G loss: 0.951674]\n",
            "3990 [D loss: 0.656557, acc.: 57.81%] [G loss: 0.957549]\n",
            "3991 [D loss: 0.648922, acc.: 64.06%] [G loss: 0.920481]\n",
            "3992 [D loss: 0.731152, acc.: 50.00%] [G loss: 0.898005]\n",
            "3993 [D loss: 0.673676, acc.: 53.12%] [G loss: 0.919568]\n",
            "3994 [D loss: 0.682001, acc.: 53.12%] [G loss: 0.853391]\n",
            "3995 [D loss: 0.630872, acc.: 71.88%] [G loss: 0.861010]\n",
            "3996 [D loss: 0.681863, acc.: 59.38%] [G loss: 0.861542]\n",
            "3997 [D loss: 0.718453, acc.: 46.88%] [G loss: 0.908043]\n",
            "3998 [D loss: 0.682637, acc.: 57.81%] [G loss: 0.796772]\n",
            "3999 [D loss: 0.724123, acc.: 50.00%] [G loss: 0.895371]\n",
            "4000 [D loss: 0.625943, acc.: 71.88%] [G loss: 0.937466]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIUQSaLMTQiTB/wM3gHaYOe+eqgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "4001 [D loss: 0.626974, acc.: 67.19%] [G loss: 0.887698]\n",
            "4002 [D loss: 0.608696, acc.: 75.00%] [G loss: 0.869959]\n",
            "4003 [D loss: 0.655853, acc.: 57.81%] [G loss: 0.837026]\n",
            "4004 [D loss: 0.651399, acc.: 68.75%] [G loss: 0.875945]\n",
            "4005 [D loss: 0.638182, acc.: 60.94%] [G loss: 0.895562]\n",
            "4006 [D loss: 0.616783, acc.: 65.62%] [G loss: 0.953460]\n",
            "4007 [D loss: 0.658617, acc.: 59.38%] [G loss: 0.836198]\n",
            "4008 [D loss: 0.625383, acc.: 62.50%] [G loss: 0.935184]\n",
            "4009 [D loss: 0.656138, acc.: 65.62%] [G loss: 0.972198]\n",
            "4010 [D loss: 0.656030, acc.: 60.94%] [G loss: 0.872633]\n",
            "4011 [D loss: 0.674679, acc.: 59.38%] [G loss: 0.871923]\n",
            "4012 [D loss: 0.655359, acc.: 64.06%] [G loss: 0.843142]\n",
            "4013 [D loss: 0.694759, acc.: 56.25%] [G loss: 0.918766]\n",
            "4014 [D loss: 0.609063, acc.: 62.50%] [G loss: 0.801167]\n",
            "4015 [D loss: 0.635601, acc.: 65.62%] [G loss: 0.929720]\n",
            "4016 [D loss: 0.654058, acc.: 56.25%] [G loss: 0.863882]\n",
            "4017 [D loss: 0.714392, acc.: 59.38%] [G loss: 0.888523]\n",
            "4018 [D loss: 0.620732, acc.: 64.06%] [G loss: 0.894422]\n",
            "4019 [D loss: 0.645228, acc.: 71.88%] [G loss: 0.861190]\n",
            "4020 [D loss: 0.675259, acc.: 59.38%] [G loss: 0.929523]\n",
            "4021 [D loss: 0.695608, acc.: 56.25%] [G loss: 0.958339]\n",
            "4022 [D loss: 0.621048, acc.: 65.62%] [G loss: 0.916995]\n",
            "4023 [D loss: 0.653779, acc.: 62.50%] [G loss: 0.895706]\n",
            "4024 [D loss: 0.656724, acc.: 64.06%] [G loss: 0.998731]\n",
            "4025 [D loss: 0.614072, acc.: 62.50%] [G loss: 0.896196]\n",
            "4026 [D loss: 0.584654, acc.: 71.88%] [G loss: 0.912306]\n",
            "4027 [D loss: 0.624546, acc.: 67.19%] [G loss: 0.839014]\n",
            "4028 [D loss: 0.636612, acc.: 60.94%] [G loss: 0.889017]\n",
            "4029 [D loss: 0.593952, acc.: 70.31%] [G loss: 0.902854]\n",
            "4030 [D loss: 0.706248, acc.: 54.69%] [G loss: 0.857923]\n",
            "4031 [D loss: 0.562232, acc.: 81.25%] [G loss: 0.926600]\n",
            "4032 [D loss: 0.704620, acc.: 57.81%] [G loss: 0.824734]\n",
            "4033 [D loss: 0.673480, acc.: 64.06%] [G loss: 0.833100]\n",
            "4034 [D loss: 0.626080, acc.: 62.50%] [G loss: 0.881197]\n",
            "4035 [D loss: 0.662441, acc.: 59.38%] [G loss: 0.905695]\n",
            "4036 [D loss: 0.644312, acc.: 65.62%] [G loss: 0.875576]\n",
            "4037 [D loss: 0.627722, acc.: 64.06%] [G loss: 0.861647]\n",
            "4038 [D loss: 0.621295, acc.: 60.94%] [G loss: 0.874650]\n",
            "4039 [D loss: 0.653420, acc.: 67.19%] [G loss: 0.950764]\n",
            "4040 [D loss: 0.690852, acc.: 56.25%] [G loss: 0.966103]\n",
            "4041 [D loss: 0.670010, acc.: 53.12%] [G loss: 0.839183]\n",
            "4042 [D loss: 0.618269, acc.: 65.62%] [G loss: 0.882936]\n",
            "4043 [D loss: 0.659684, acc.: 62.50%] [G loss: 0.855680]\n",
            "4044 [D loss: 0.624782, acc.: 64.06%] [G loss: 0.833711]\n",
            "4045 [D loss: 0.679852, acc.: 54.69%] [G loss: 0.853810]\n",
            "4046 [D loss: 0.651890, acc.: 60.94%] [G loss: 0.872292]\n",
            "4047 [D loss: 0.651356, acc.: 62.50%] [G loss: 0.894988]\n",
            "4048 [D loss: 0.647645, acc.: 60.94%] [G loss: 0.899034]\n",
            "4049 [D loss: 0.704274, acc.: 53.12%] [G loss: 0.853104]\n",
            "4050 [D loss: 0.735903, acc.: 57.81%] [G loss: 0.860418]\n",
            "4051 [D loss: 0.619569, acc.: 68.75%] [G loss: 0.918473]\n",
            "4052 [D loss: 0.703862, acc.: 57.81%] [G loss: 0.853213]\n",
            "4053 [D loss: 0.645785, acc.: 60.94%] [G loss: 0.903825]\n",
            "4054 [D loss: 0.674147, acc.: 51.56%] [G loss: 0.892250]\n",
            "4055 [D loss: 0.661501, acc.: 59.38%] [G loss: 0.960479]\n",
            "4056 [D loss: 0.648822, acc.: 64.06%] [G loss: 0.914310]\n",
            "4057 [D loss: 0.698405, acc.: 56.25%] [G loss: 0.925603]\n",
            "4058 [D loss: 0.641021, acc.: 60.94%] [G loss: 0.954494]\n",
            "4059 [D loss: 0.654189, acc.: 59.38%] [G loss: 0.907509]\n",
            "4060 [D loss: 0.620458, acc.: 71.88%] [G loss: 0.937196]\n",
            "4061 [D loss: 0.656997, acc.: 62.50%] [G loss: 0.848752]\n",
            "4062 [D loss: 0.637469, acc.: 68.75%] [G loss: 0.827697]\n",
            "4063 [D loss: 0.603770, acc.: 70.31%] [G loss: 0.851472]\n",
            "4064 [D loss: 0.672017, acc.: 56.25%] [G loss: 0.884683]\n",
            "4065 [D loss: 0.623809, acc.: 59.38%] [G loss: 0.883654]\n",
            "4066 [D loss: 0.671010, acc.: 62.50%] [G loss: 0.919673]\n",
            "4067 [D loss: 0.678762, acc.: 62.50%] [G loss: 0.926821]\n",
            "4068 [D loss: 0.624559, acc.: 64.06%] [G loss: 0.997087]\n",
            "4069 [D loss: 0.623285, acc.: 67.19%] [G loss: 0.911786]\n",
            "4070 [D loss: 0.649155, acc.: 62.50%] [G loss: 0.939063]\n",
            "4071 [D loss: 0.592124, acc.: 67.19%] [G loss: 0.907624]\n",
            "4072 [D loss: 0.682577, acc.: 59.38%] [G loss: 0.960266]\n",
            "4073 [D loss: 0.695268, acc.: 53.12%] [G loss: 0.900850]\n",
            "4074 [D loss: 0.654981, acc.: 59.38%] [G loss: 0.873038]\n",
            "4075 [D loss: 0.598577, acc.: 70.31%] [G loss: 0.885205]\n",
            "4076 [D loss: 0.652842, acc.: 59.38%] [G loss: 0.886198]\n",
            "4077 [D loss: 0.678751, acc.: 54.69%] [G loss: 1.018152]\n",
            "4078 [D loss: 0.647558, acc.: 64.06%] [G loss: 0.987715]\n",
            "4079 [D loss: 0.652006, acc.: 60.94%] [G loss: 0.943263]\n",
            "4080 [D loss: 0.671566, acc.: 54.69%] [G loss: 0.874738]\n",
            "4081 [D loss: 0.647397, acc.: 56.25%] [G loss: 0.953698]\n",
            "4082 [D loss: 0.551375, acc.: 73.44%] [G loss: 0.904731]\n",
            "4083 [D loss: 0.636235, acc.: 57.81%] [G loss: 0.937059]\n",
            "4084 [D loss: 0.591690, acc.: 70.31%] [G loss: 0.889620]\n",
            "4085 [D loss: 0.581946, acc.: 78.12%] [G loss: 1.030475]\n",
            "4086 [D loss: 0.643913, acc.: 60.94%] [G loss: 0.902011]\n",
            "4087 [D loss: 0.667626, acc.: 64.06%] [G loss: 0.929606]\n",
            "4088 [D loss: 0.591245, acc.: 76.56%] [G loss: 0.825178]\n",
            "4089 [D loss: 0.665920, acc.: 65.62%] [G loss: 0.907785]\n",
            "4090 [D loss: 0.627745, acc.: 71.88%] [G loss: 0.912779]\n",
            "4091 [D loss: 0.556983, acc.: 75.00%] [G loss: 0.952542]\n",
            "4092 [D loss: 0.723764, acc.: 48.44%] [G loss: 0.887661]\n",
            "4093 [D loss: 0.586425, acc.: 68.75%] [G loss: 0.939509]\n",
            "4094 [D loss: 0.592824, acc.: 71.88%] [G loss: 0.909485]\n",
            "4095 [D loss: 0.660639, acc.: 57.81%] [G loss: 0.911016]\n",
            "4096 [D loss: 0.597767, acc.: 67.19%] [G loss: 0.835797]\n",
            "4097 [D loss: 0.745420, acc.: 51.56%] [G loss: 0.858608]\n",
            "4098 [D loss: 0.661763, acc.: 57.81%] [G loss: 0.960160]\n",
            "4099 [D loss: 0.680028, acc.: 54.69%] [G loss: 1.018607]\n",
            "4100 [D loss: 0.609030, acc.: 60.94%] [G loss: 0.968648]\n",
            "4101 [D loss: 0.576338, acc.: 71.88%] [G loss: 0.907725]\n",
            "4102 [D loss: 0.618886, acc.: 67.19%] [G loss: 0.989472]\n",
            "4103 [D loss: 0.669356, acc.: 64.06%] [G loss: 1.004664]\n",
            "4104 [D loss: 0.624114, acc.: 67.19%] [G loss: 0.868079]\n",
            "4105 [D loss: 0.718604, acc.: 50.00%] [G loss: 0.919144]\n",
            "4106 [D loss: 0.653792, acc.: 57.81%] [G loss: 0.874792]\n",
            "4107 [D loss: 0.657632, acc.: 62.50%] [G loss: 0.868401]\n",
            "4108 [D loss: 0.678827, acc.: 56.25%] [G loss: 0.864581]\n",
            "4109 [D loss: 0.635020, acc.: 70.31%] [G loss: 0.895961]\n",
            "4110 [D loss: 0.638024, acc.: 65.62%] [G loss: 0.944269]\n",
            "4111 [D loss: 0.709534, acc.: 51.56%] [G loss: 0.890458]\n",
            "4112 [D loss: 0.678893, acc.: 65.62%] [G loss: 0.894225]\n",
            "4113 [D loss: 0.647367, acc.: 62.50%] [G loss: 0.944540]\n",
            "4114 [D loss: 0.635663, acc.: 68.75%] [G loss: 0.917157]\n",
            "4115 [D loss: 0.590699, acc.: 68.75%] [G loss: 0.950764]\n",
            "4116 [D loss: 0.774350, acc.: 51.56%] [G loss: 0.896400]\n",
            "4117 [D loss: 0.615801, acc.: 67.19%] [G loss: 0.871398]\n",
            "4118 [D loss: 0.646886, acc.: 62.50%] [G loss: 1.024654]\n",
            "4119 [D loss: 0.683338, acc.: 60.94%] [G loss: 0.941023]\n",
            "4120 [D loss: 0.668124, acc.: 54.69%] [G loss: 0.872766]\n",
            "4121 [D loss: 0.694361, acc.: 51.56%] [G loss: 0.943833]\n",
            "4122 [D loss: 0.632086, acc.: 60.94%] [G loss: 0.930012]\n",
            "4123 [D loss: 0.672154, acc.: 53.12%] [G loss: 0.820770]\n",
            "4124 [D loss: 0.657600, acc.: 57.81%] [G loss: 0.924104]\n",
            "4125 [D loss: 0.683831, acc.: 56.25%] [G loss: 0.911468]\n",
            "4126 [D loss: 0.652223, acc.: 56.25%] [G loss: 1.004395]\n",
            "4127 [D loss: 0.680795, acc.: 59.38%] [G loss: 0.885816]\n",
            "4128 [D loss: 0.708408, acc.: 48.44%] [G loss: 0.865797]\n",
            "4129 [D loss: 0.631665, acc.: 70.31%] [G loss: 0.900561]\n",
            "4130 [D loss: 0.598153, acc.: 67.19%] [G loss: 0.985227]\n",
            "4131 [D loss: 0.714713, acc.: 56.25%] [G loss: 0.922264]\n",
            "4132 [D loss: 0.630053, acc.: 62.50%] [G loss: 0.950518]\n",
            "4133 [D loss: 0.743170, acc.: 50.00%] [G loss: 0.916006]\n",
            "4134 [D loss: 0.607591, acc.: 67.19%] [G loss: 0.953528]\n",
            "4135 [D loss: 0.594893, acc.: 71.88%] [G loss: 0.934105]\n",
            "4136 [D loss: 0.628747, acc.: 65.62%] [G loss: 0.881092]\n",
            "4137 [D loss: 0.653516, acc.: 64.06%] [G loss: 0.851071]\n",
            "4138 [D loss: 0.669742, acc.: 53.12%] [G loss: 0.968093]\n",
            "4139 [D loss: 0.627012, acc.: 67.19%] [G loss: 0.823380]\n",
            "4140 [D loss: 0.659328, acc.: 54.69%] [G loss: 0.835444]\n",
            "4141 [D loss: 0.631836, acc.: 64.06%] [G loss: 0.915332]\n",
            "4142 [D loss: 0.620370, acc.: 65.62%] [G loss: 0.865223]\n",
            "4143 [D loss: 0.668794, acc.: 56.25%] [G loss: 0.907113]\n",
            "4144 [D loss: 0.656500, acc.: 57.81%] [G loss: 0.934559]\n",
            "4145 [D loss: 0.650577, acc.: 65.62%] [G loss: 0.874687]\n",
            "4146 [D loss: 0.624763, acc.: 65.62%] [G loss: 0.960484]\n",
            "4147 [D loss: 0.641806, acc.: 59.38%] [G loss: 0.900320]\n",
            "4148 [D loss: 0.654425, acc.: 56.25%] [G loss: 0.976315]\n",
            "4149 [D loss: 0.648511, acc.: 67.19%] [G loss: 0.989426]\n",
            "4150 [D loss: 0.639839, acc.: 60.94%] [G loss: 0.900068]\n",
            "4151 [D loss: 0.653747, acc.: 67.19%] [G loss: 1.033884]\n",
            "4152 [D loss: 0.687731, acc.: 53.12%] [G loss: 0.970833]\n",
            "4153 [D loss: 0.660888, acc.: 56.25%] [G loss: 0.950120]\n",
            "4154 [D loss: 0.596935, acc.: 75.00%] [G loss: 0.858191]\n",
            "4155 [D loss: 0.658782, acc.: 64.06%] [G loss: 0.905653]\n",
            "4156 [D loss: 0.721385, acc.: 53.12%] [G loss: 0.862247]\n",
            "4157 [D loss: 0.643397, acc.: 65.62%] [G loss: 0.940918]\n",
            "4158 [D loss: 0.622606, acc.: 71.88%] [G loss: 0.877003]\n",
            "4159 [D loss: 0.623058, acc.: 67.19%] [G loss: 0.837027]\n",
            "4160 [D loss: 0.614507, acc.: 71.88%] [G loss: 0.880098]\n",
            "4161 [D loss: 0.612020, acc.: 68.75%] [G loss: 0.855299]\n",
            "4162 [D loss: 0.656578, acc.: 56.25%] [G loss: 0.851205]\n",
            "4163 [D loss: 0.673695, acc.: 64.06%] [G loss: 0.914593]\n",
            "4164 [D loss: 0.690729, acc.: 46.88%] [G loss: 0.922499]\n",
            "4165 [D loss: 0.584409, acc.: 68.75%] [G loss: 0.875782]\n",
            "4166 [D loss: 0.631168, acc.: 67.19%] [G loss: 1.016046]\n",
            "4167 [D loss: 0.679738, acc.: 53.12%] [G loss: 0.919814]\n",
            "4168 [D loss: 0.681631, acc.: 57.81%] [G loss: 0.888569]\n",
            "4169 [D loss: 0.698332, acc.: 56.25%] [G loss: 0.872425]\n",
            "4170 [D loss: 0.656656, acc.: 54.69%] [G loss: 0.892986]\n",
            "4171 [D loss: 0.716332, acc.: 56.25%] [G loss: 0.979790]\n",
            "4172 [D loss: 0.598755, acc.: 65.62%] [G loss: 0.922048]\n",
            "4173 [D loss: 0.679180, acc.: 53.12%] [G loss: 0.894071]\n",
            "4174 [D loss: 0.667699, acc.: 59.38%] [G loss: 0.880226]\n",
            "4175 [D loss: 0.666661, acc.: 60.94%] [G loss: 0.880203]\n",
            "4176 [D loss: 0.671463, acc.: 60.94%] [G loss: 1.040878]\n",
            "4177 [D loss: 0.703771, acc.: 53.12%] [G loss: 0.828124]\n",
            "4178 [D loss: 0.590591, acc.: 67.19%] [G loss: 0.840528]\n",
            "4179 [D loss: 0.653813, acc.: 62.50%] [G loss: 0.915809]\n",
            "4180 [D loss: 0.720649, acc.: 54.69%] [G loss: 0.941657]\n",
            "4181 [D loss: 0.646378, acc.: 59.38%] [G loss: 0.954821]\n",
            "4182 [D loss: 0.620642, acc.: 70.31%] [G loss: 0.902311]\n",
            "4183 [D loss: 0.725108, acc.: 51.56%] [G loss: 0.891091]\n",
            "4184 [D loss: 0.666807, acc.: 56.25%] [G loss: 0.941311]\n",
            "4185 [D loss: 0.679032, acc.: 51.56%] [G loss: 0.940573]\n",
            "4186 [D loss: 0.643159, acc.: 60.94%] [G loss: 0.883817]\n",
            "4187 [D loss: 0.601922, acc.: 62.50%] [G loss: 0.881648]\n",
            "4188 [D loss: 0.606450, acc.: 64.06%] [G loss: 0.875046]\n",
            "4189 [D loss: 0.629684, acc.: 67.19%] [G loss: 0.825819]\n",
            "4190 [D loss: 0.597188, acc.: 70.31%] [G loss: 0.837049]\n",
            "4191 [D loss: 0.656895, acc.: 59.38%] [G loss: 0.893307]\n",
            "4192 [D loss: 0.636434, acc.: 62.50%] [G loss: 0.912016]\n",
            "4193 [D loss: 0.669665, acc.: 56.25%] [G loss: 0.874002]\n",
            "4194 [D loss: 0.673293, acc.: 48.44%] [G loss: 0.968572]\n",
            "4195 [D loss: 0.630819, acc.: 68.75%] [G loss: 0.989719]\n",
            "4196 [D loss: 0.671063, acc.: 57.81%] [G loss: 0.946776]\n",
            "4197 [D loss: 0.628504, acc.: 59.38%] [G loss: 0.876421]\n",
            "4198 [D loss: 0.619972, acc.: 67.19%] [G loss: 0.993589]\n",
            "4199 [D loss: 0.662661, acc.: 51.56%] [G loss: 0.985820]\n",
            "4200 [D loss: 0.662962, acc.: 56.25%] [G loss: 0.920557]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "4201 [D loss: 0.687778, acc.: 59.38%] [G loss: 0.916136]\n",
            "4202 [D loss: 0.660291, acc.: 59.38%] [G loss: 0.843190]\n",
            "4203 [D loss: 0.592330, acc.: 68.75%] [G loss: 0.921636]\n",
            "4204 [D loss: 0.694643, acc.: 65.62%] [G loss: 0.969168]\n",
            "4205 [D loss: 0.675988, acc.: 54.69%] [G loss: 0.912230]\n",
            "4206 [D loss: 0.624704, acc.: 65.62%] [G loss: 0.839967]\n",
            "4207 [D loss: 0.715210, acc.: 48.44%] [G loss: 0.930713]\n",
            "4208 [D loss: 0.666302, acc.: 60.94%] [G loss: 0.850693]\n",
            "4209 [D loss: 0.600212, acc.: 70.31%] [G loss: 0.887572]\n",
            "4210 [D loss: 0.639283, acc.: 64.06%] [G loss: 0.892066]\n",
            "4211 [D loss: 0.637134, acc.: 62.50%] [G loss: 0.833525]\n",
            "4212 [D loss: 0.666558, acc.: 59.38%] [G loss: 0.913544]\n",
            "4213 [D loss: 0.652289, acc.: 56.25%] [G loss: 0.885836]\n",
            "4214 [D loss: 0.551337, acc.: 81.25%] [G loss: 0.830619]\n",
            "4215 [D loss: 0.674673, acc.: 56.25%] [G loss: 0.949891]\n",
            "4216 [D loss: 0.630748, acc.: 60.94%] [G loss: 0.840357]\n",
            "4217 [D loss: 0.634644, acc.: 60.94%] [G loss: 0.902588]\n",
            "4218 [D loss: 0.657144, acc.: 65.62%] [G loss: 0.901936]\n",
            "4219 [D loss: 0.700502, acc.: 57.81%] [G loss: 0.887291]\n",
            "4220 [D loss: 0.619320, acc.: 57.81%] [G loss: 0.959882]\n",
            "4221 [D loss: 0.625852, acc.: 60.94%] [G loss: 0.854572]\n",
            "4222 [D loss: 0.692447, acc.: 53.12%] [G loss: 0.952534]\n",
            "4223 [D loss: 0.646273, acc.: 65.62%] [G loss: 0.914780]\n",
            "4224 [D loss: 0.626428, acc.: 64.06%] [G loss: 0.958204]\n",
            "4225 [D loss: 0.597609, acc.: 68.75%] [G loss: 0.913085]\n",
            "4226 [D loss: 0.700046, acc.: 56.25%] [G loss: 0.813547]\n",
            "4227 [D loss: 0.667273, acc.: 53.12%] [G loss: 0.909952]\n",
            "4228 [D loss: 0.674658, acc.: 59.38%] [G loss: 0.848140]\n",
            "4229 [D loss: 0.646497, acc.: 57.81%] [G loss: 0.824095]\n",
            "4230 [D loss: 0.608733, acc.: 70.31%] [G loss: 0.820535]\n",
            "4231 [D loss: 0.689484, acc.: 54.69%] [G loss: 0.924364]\n",
            "4232 [D loss: 0.698570, acc.: 57.81%] [G loss: 0.893635]\n",
            "4233 [D loss: 0.709590, acc.: 54.69%] [G loss: 0.866357]\n",
            "4234 [D loss: 0.667210, acc.: 57.81%] [G loss: 0.864131]\n",
            "4235 [D loss: 0.611467, acc.: 60.94%] [G loss: 0.899714]\n",
            "4236 [D loss: 0.674473, acc.: 56.25%] [G loss: 0.914400]\n",
            "4237 [D loss: 0.615765, acc.: 64.06%] [G loss: 0.964018]\n",
            "4238 [D loss: 0.612152, acc.: 60.94%] [G loss: 0.921899]\n",
            "4239 [D loss: 0.664439, acc.: 64.06%] [G loss: 0.974165]\n",
            "4240 [D loss: 0.630551, acc.: 60.94%] [G loss: 0.883291]\n",
            "4241 [D loss: 0.663739, acc.: 64.06%] [G loss: 0.913786]\n",
            "4242 [D loss: 0.699512, acc.: 53.12%] [G loss: 0.953431]\n",
            "4243 [D loss: 0.672910, acc.: 62.50%] [G loss: 0.891102]\n",
            "4244 [D loss: 0.619811, acc.: 67.19%] [G loss: 0.932875]\n",
            "4245 [D loss: 0.692088, acc.: 53.12%] [G loss: 0.908984]\n",
            "4246 [D loss: 0.586305, acc.: 65.62%] [G loss: 0.935247]\n",
            "4247 [D loss: 0.653370, acc.: 51.56%] [G loss: 0.918775]\n",
            "4248 [D loss: 0.654239, acc.: 60.94%] [G loss: 0.986429]\n",
            "4249 [D loss: 0.617528, acc.: 54.69%] [G loss: 0.924667]\n",
            "4250 [D loss: 0.678041, acc.: 53.12%] [G loss: 1.007509]\n",
            "4251 [D loss: 0.678420, acc.: 56.25%] [G loss: 0.923011]\n",
            "4252 [D loss: 0.666339, acc.: 57.81%] [G loss: 0.888665]\n",
            "4253 [D loss: 0.691274, acc.: 54.69%] [G loss: 0.949752]\n",
            "4254 [D loss: 0.626544, acc.: 68.75%] [G loss: 0.971583]\n",
            "4255 [D loss: 0.610392, acc.: 65.62%] [G loss: 0.862308]\n",
            "4256 [D loss: 0.675643, acc.: 62.50%] [G loss: 0.868731]\n",
            "4257 [D loss: 0.646382, acc.: 64.06%] [G loss: 0.871881]\n",
            "4258 [D loss: 0.616081, acc.: 68.75%] [G loss: 0.902240]\n",
            "4259 [D loss: 0.618989, acc.: 56.25%] [G loss: 0.973352]\n",
            "4260 [D loss: 0.679430, acc.: 59.38%] [G loss: 0.963765]\n",
            "4261 [D loss: 0.679118, acc.: 62.50%] [G loss: 0.976608]\n",
            "4262 [D loss: 0.644995, acc.: 62.50%] [G loss: 0.971551]\n",
            "4263 [D loss: 0.716180, acc.: 46.88%] [G loss: 1.005111]\n",
            "4264 [D loss: 0.674182, acc.: 59.38%] [G loss: 0.982263]\n",
            "4265 [D loss: 0.637277, acc.: 65.62%] [G loss: 0.895525]\n",
            "4266 [D loss: 0.672311, acc.: 56.25%] [G loss: 0.896879]\n",
            "4267 [D loss: 0.677173, acc.: 60.94%] [G loss: 0.844243]\n",
            "4268 [D loss: 0.730798, acc.: 50.00%] [G loss: 0.903468]\n",
            "4269 [D loss: 0.595997, acc.: 67.19%] [G loss: 0.964444]\n",
            "4270 [D loss: 0.648032, acc.: 62.50%] [G loss: 0.851776]\n",
            "4271 [D loss: 0.643352, acc.: 64.06%] [G loss: 0.904645]\n",
            "4272 [D loss: 0.682135, acc.: 48.44%] [G loss: 0.872625]\n",
            "4273 [D loss: 0.627990, acc.: 67.19%] [G loss: 0.936192]\n",
            "4274 [D loss: 0.603649, acc.: 68.75%] [G loss: 0.924852]\n",
            "4275 [D loss: 0.575806, acc.: 76.56%] [G loss: 0.935630]\n",
            "4276 [D loss: 0.673870, acc.: 60.94%] [G loss: 0.892834]\n",
            "4277 [D loss: 0.685274, acc.: 65.62%] [G loss: 0.932630]\n",
            "4278 [D loss: 0.592394, acc.: 71.88%] [G loss: 0.963136]\n",
            "4279 [D loss: 0.664246, acc.: 59.38%] [G loss: 0.998807]\n",
            "4280 [D loss: 0.647599, acc.: 54.69%] [G loss: 0.927014]\n",
            "4281 [D loss: 0.632009, acc.: 73.44%] [G loss: 0.971869]\n",
            "4282 [D loss: 0.687281, acc.: 59.38%] [G loss: 0.872756]\n",
            "4283 [D loss: 0.657825, acc.: 60.94%] [G loss: 0.872740]\n",
            "4284 [D loss: 0.736987, acc.: 46.88%] [G loss: 0.934858]\n",
            "4285 [D loss: 0.655902, acc.: 60.94%] [G loss: 0.879854]\n",
            "4286 [D loss: 0.637216, acc.: 70.31%] [G loss: 0.880515]\n",
            "4287 [D loss: 0.647247, acc.: 57.81%] [G loss: 0.869791]\n",
            "4288 [D loss: 0.673956, acc.: 60.94%] [G loss: 0.991198]\n",
            "4289 [D loss: 0.604450, acc.: 73.44%] [G loss: 0.932948]\n",
            "4290 [D loss: 0.637434, acc.: 64.06%] [G loss: 0.934573]\n",
            "4291 [D loss: 0.621519, acc.: 68.75%] [G loss: 0.894922]\n",
            "4292 [D loss: 0.658803, acc.: 64.06%] [G loss: 0.807783]\n",
            "4293 [D loss: 0.730952, acc.: 51.56%] [G loss: 0.841926]\n",
            "4294 [D loss: 0.653435, acc.: 65.62%] [G loss: 0.891762]\n",
            "4295 [D loss: 0.615705, acc.: 71.88%] [G loss: 0.857578]\n",
            "4296 [D loss: 0.644852, acc.: 68.75%] [G loss: 0.842839]\n",
            "4297 [D loss: 0.626563, acc.: 59.38%] [G loss: 0.930729]\n",
            "4298 [D loss: 0.655162, acc.: 59.38%] [G loss: 0.940259]\n",
            "4299 [D loss: 0.666516, acc.: 68.75%] [G loss: 0.902541]\n",
            "4300 [D loss: 0.615375, acc.: 60.94%] [G loss: 0.816125]\n",
            "4301 [D loss: 0.623349, acc.: 64.06%] [G loss: 0.847088]\n",
            "4302 [D loss: 0.684818, acc.: 51.56%] [G loss: 0.921822]\n",
            "4303 [D loss: 0.598135, acc.: 71.88%] [G loss: 0.833801]\n",
            "4304 [D loss: 0.626827, acc.: 62.50%] [G loss: 0.888057]\n",
            "4305 [D loss: 0.606537, acc.: 71.88%] [G loss: 0.931704]\n",
            "4306 [D loss: 0.601130, acc.: 71.88%] [G loss: 1.053444]\n",
            "4307 [D loss: 0.607638, acc.: 68.75%] [G loss: 0.971031]\n",
            "4308 [D loss: 0.761326, acc.: 42.19%] [G loss: 0.964176]\n",
            "4309 [D loss: 0.648743, acc.: 68.75%] [G loss: 0.914240]\n",
            "4310 [D loss: 0.676642, acc.: 60.94%] [G loss: 0.952182]\n",
            "4311 [D loss: 0.628570, acc.: 67.19%] [G loss: 0.816022]\n",
            "4312 [D loss: 0.594323, acc.: 65.62%] [G loss: 0.992863]\n",
            "4313 [D loss: 0.628127, acc.: 57.81%] [G loss: 0.847468]\n",
            "4314 [D loss: 0.696024, acc.: 57.81%] [G loss: 0.945897]\n",
            "4315 [D loss: 0.707722, acc.: 64.06%] [G loss: 0.882198]\n",
            "4316 [D loss: 0.583506, acc.: 70.31%] [G loss: 0.965045]\n",
            "4317 [D loss: 0.622721, acc.: 62.50%] [G loss: 1.025801]\n",
            "4318 [D loss: 0.672278, acc.: 56.25%] [G loss: 0.904871]\n",
            "4319 [D loss: 0.671202, acc.: 59.38%] [G loss: 0.881813]\n",
            "4320 [D loss: 0.698948, acc.: 50.00%] [G loss: 0.975543]\n",
            "4321 [D loss: 0.708358, acc.: 51.56%] [G loss: 0.845579]\n",
            "4322 [D loss: 0.645834, acc.: 65.62%] [G loss: 0.879416]\n",
            "4323 [D loss: 0.666056, acc.: 54.69%] [G loss: 0.943481]\n",
            "4324 [D loss: 0.672865, acc.: 54.69%] [G loss: 0.824815]\n",
            "4325 [D loss: 0.646496, acc.: 56.25%] [G loss: 0.873966]\n",
            "4326 [D loss: 0.672158, acc.: 57.81%] [G loss: 0.929770]\n",
            "4327 [D loss: 0.637340, acc.: 57.81%] [G loss: 0.933820]\n",
            "4328 [D loss: 0.676944, acc.: 59.38%] [G loss: 0.877938]\n",
            "4329 [D loss: 0.602191, acc.: 71.88%] [G loss: 0.879265]\n",
            "4330 [D loss: 0.631208, acc.: 65.62%] [G loss: 0.893792]\n",
            "4331 [D loss: 0.691293, acc.: 53.12%] [G loss: 0.872860]\n",
            "4332 [D loss: 0.674972, acc.: 59.38%] [G loss: 1.027121]\n",
            "4333 [D loss: 0.612052, acc.: 71.88%] [G loss: 0.915483]\n",
            "4334 [D loss: 0.624340, acc.: 65.62%] [G loss: 0.938290]\n",
            "4335 [D loss: 0.636118, acc.: 64.06%] [G loss: 0.816178]\n",
            "4336 [D loss: 0.632287, acc.: 67.19%] [G loss: 0.859823]\n",
            "4337 [D loss: 0.642830, acc.: 64.06%] [G loss: 0.915531]\n",
            "4338 [D loss: 0.660308, acc.: 59.38%] [G loss: 0.967240]\n",
            "4339 [D loss: 0.682159, acc.: 53.12%] [G loss: 0.882636]\n",
            "4340 [D loss: 0.663380, acc.: 59.38%] [G loss: 0.900145]\n",
            "4341 [D loss: 0.677867, acc.: 57.81%] [G loss: 0.915418]\n",
            "4342 [D loss: 0.677298, acc.: 59.38%] [G loss: 0.858644]\n",
            "4343 [D loss: 0.642664, acc.: 60.94%] [G loss: 0.891268]\n",
            "4344 [D loss: 0.668102, acc.: 56.25%] [G loss: 0.883615]\n",
            "4345 [D loss: 0.650186, acc.: 56.25%] [G loss: 0.845932]\n",
            "4346 [D loss: 0.591915, acc.: 73.44%] [G loss: 0.915943]\n",
            "4347 [D loss: 0.630381, acc.: 65.62%] [G loss: 0.876013]\n",
            "4348 [D loss: 0.627150, acc.: 64.06%] [G loss: 0.855377]\n",
            "4349 [D loss: 0.629875, acc.: 68.75%] [G loss: 0.933027]\n",
            "4350 [D loss: 0.598961, acc.: 70.31%] [G loss: 0.890890]\n",
            "4351 [D loss: 0.691004, acc.: 62.50%] [G loss: 0.993238]\n",
            "4352 [D loss: 0.712569, acc.: 60.94%] [G loss: 0.911273]\n",
            "4353 [D loss: 0.717472, acc.: 51.56%] [G loss: 1.001197]\n",
            "4354 [D loss: 0.636347, acc.: 64.06%] [G loss: 0.938907]\n",
            "4355 [D loss: 0.688128, acc.: 57.81%] [G loss: 0.897951]\n",
            "4356 [D loss: 0.630251, acc.: 75.00%] [G loss: 0.867472]\n",
            "4357 [D loss: 0.659490, acc.: 64.06%] [G loss: 0.826670]\n",
            "4358 [D loss: 0.708957, acc.: 54.69%] [G loss: 0.949143]\n",
            "4359 [D loss: 0.602786, acc.: 67.19%] [G loss: 0.856264]\n",
            "4360 [D loss: 0.599138, acc.: 70.31%] [G loss: 0.885914]\n",
            "4361 [D loss: 0.697971, acc.: 54.69%] [G loss: 0.847152]\n",
            "4362 [D loss: 0.682191, acc.: 53.12%] [G loss: 0.781877]\n",
            "4363 [D loss: 0.600374, acc.: 68.75%] [G loss: 0.816243]\n",
            "4364 [D loss: 0.607214, acc.: 68.75%] [G loss: 0.863595]\n",
            "4365 [D loss: 0.566773, acc.: 70.31%] [G loss: 0.859579]\n",
            "4366 [D loss: 0.643917, acc.: 71.88%] [G loss: 0.801023]\n",
            "4367 [D loss: 0.645018, acc.: 65.62%] [G loss: 0.910357]\n",
            "4368 [D loss: 0.652979, acc.: 56.25%] [G loss: 0.988171]\n",
            "4369 [D loss: 0.629827, acc.: 64.06%] [G loss: 0.921412]\n",
            "4370 [D loss: 0.689620, acc.: 59.38%] [G loss: 0.879071]\n",
            "4371 [D loss: 0.659227, acc.: 59.38%] [G loss: 0.845190]\n",
            "4372 [D loss: 0.637738, acc.: 57.81%] [G loss: 0.924962]\n",
            "4373 [D loss: 0.634209, acc.: 70.31%] [G loss: 0.929787]\n",
            "4374 [D loss: 0.627446, acc.: 62.50%] [G loss: 0.824411]\n",
            "4375 [D loss: 0.657200, acc.: 62.50%] [G loss: 0.846350]\n",
            "4376 [D loss: 0.705867, acc.: 56.25%] [G loss: 0.848988]\n",
            "4377 [D loss: 0.669755, acc.: 62.50%] [G loss: 0.852482]\n",
            "4378 [D loss: 0.681896, acc.: 57.81%] [G loss: 0.965978]\n",
            "4379 [D loss: 0.657520, acc.: 53.12%] [G loss: 0.887942]\n",
            "4380 [D loss: 0.571624, acc.: 70.31%] [G loss: 0.915370]\n",
            "4381 [D loss: 0.594004, acc.: 70.31%] [G loss: 0.966027]\n",
            "4382 [D loss: 0.630308, acc.: 65.62%] [G loss: 0.911296]\n",
            "4383 [D loss: 0.630629, acc.: 60.94%] [G loss: 0.895271]\n",
            "4384 [D loss: 0.594591, acc.: 71.88%] [G loss: 0.899592]\n",
            "4385 [D loss: 0.686202, acc.: 62.50%] [G loss: 0.939632]\n",
            "4386 [D loss: 0.614560, acc.: 68.75%] [G loss: 0.903194]\n",
            "4387 [D loss: 0.635897, acc.: 62.50%] [G loss: 0.955973]\n",
            "4388 [D loss: 0.616426, acc.: 64.06%] [G loss: 0.970910]\n",
            "4389 [D loss: 0.586985, acc.: 75.00%] [G loss: 0.979658]\n",
            "4390 [D loss: 0.700080, acc.: 57.81%] [G loss: 0.881384]\n",
            "4391 [D loss: 0.593782, acc.: 62.50%] [G loss: 0.962337]\n",
            "4392 [D loss: 0.676023, acc.: 59.38%] [G loss: 0.818029]\n",
            "4393 [D loss: 0.617507, acc.: 68.75%] [G loss: 0.895548]\n",
            "4394 [D loss: 0.625884, acc.: 71.88%] [G loss: 0.882282]\n",
            "4395 [D loss: 0.640411, acc.: 62.50%] [G loss: 0.920313]\n",
            "4396 [D loss: 0.622884, acc.: 67.19%] [G loss: 0.832394]\n",
            "4397 [D loss: 0.765994, acc.: 51.56%] [G loss: 0.851441]\n",
            "4398 [D loss: 0.651236, acc.: 65.62%] [G loss: 0.839727]\n",
            "4399 [D loss: 0.651992, acc.: 60.94%] [G loss: 0.839222]\n",
            "4400 [D loss: 0.643389, acc.: 67.19%] [G loss: 0.923252]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\naO/WuAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "4401 [D loss: 0.656568, acc.: 67.19%] [G loss: 0.833951]\n",
            "4402 [D loss: 0.607189, acc.: 68.75%] [G loss: 0.914765]\n",
            "4403 [D loss: 0.623169, acc.: 62.50%] [G loss: 0.885509]\n",
            "4404 [D loss: 0.553626, acc.: 75.00%] [G loss: 1.039428]\n",
            "4405 [D loss: 0.642094, acc.: 71.88%] [G loss: 0.866910]\n",
            "4406 [D loss: 0.614410, acc.: 57.81%] [G loss: 0.878815]\n",
            "4407 [D loss: 0.665019, acc.: 60.94%] [G loss: 0.897835]\n",
            "4408 [D loss: 0.639210, acc.: 64.06%] [G loss: 0.902858]\n",
            "4409 [D loss: 0.643547, acc.: 62.50%] [G loss: 0.969367]\n",
            "4410 [D loss: 0.639233, acc.: 67.19%] [G loss: 0.902070]\n",
            "4411 [D loss: 0.697211, acc.: 50.00%] [G loss: 0.798933]\n",
            "4412 [D loss: 0.654918, acc.: 67.19%] [G loss: 0.881816]\n",
            "4413 [D loss: 0.632544, acc.: 60.94%] [G loss: 0.944734]\n",
            "4414 [D loss: 0.613412, acc.: 64.06%] [G loss: 0.929394]\n",
            "4415 [D loss: 0.599058, acc.: 64.06%] [G loss: 0.845291]\n",
            "4416 [D loss: 0.638133, acc.: 70.31%] [G loss: 0.927103]\n",
            "4417 [D loss: 0.681326, acc.: 53.12%] [G loss: 0.898987]\n",
            "4418 [D loss: 0.663904, acc.: 53.12%] [G loss: 0.861039]\n",
            "4419 [D loss: 0.645626, acc.: 59.38%] [G loss: 0.926580]\n",
            "4420 [D loss: 0.589221, acc.: 70.31%] [G loss: 0.990572]\n",
            "4421 [D loss: 0.656648, acc.: 64.06%] [G loss: 0.951889]\n",
            "4422 [D loss: 0.618624, acc.: 68.75%] [G loss: 0.889792]\n",
            "4423 [D loss: 0.693212, acc.: 57.81%] [G loss: 0.957612]\n",
            "4424 [D loss: 0.651828, acc.: 62.50%] [G loss: 0.960470]\n",
            "4425 [D loss: 0.648019, acc.: 62.50%] [G loss: 0.939004]\n",
            "4426 [D loss: 0.663547, acc.: 57.81%] [G loss: 0.903753]\n",
            "4427 [D loss: 0.725530, acc.: 54.69%] [G loss: 0.884107]\n",
            "4428 [D loss: 0.651964, acc.: 64.06%] [G loss: 0.958350]\n",
            "4429 [D loss: 0.701599, acc.: 54.69%] [G loss: 0.945616]\n",
            "4430 [D loss: 0.667556, acc.: 51.56%] [G loss: 0.948030]\n",
            "4431 [D loss: 0.700033, acc.: 65.62%] [G loss: 0.893227]\n",
            "4432 [D loss: 0.703711, acc.: 48.44%] [G loss: 0.957697]\n",
            "4433 [D loss: 0.640863, acc.: 67.19%] [G loss: 0.872907]\n",
            "4434 [D loss: 0.684233, acc.: 59.38%] [G loss: 0.803924]\n",
            "4435 [D loss: 0.639244, acc.: 59.38%] [G loss: 0.951785]\n",
            "4436 [D loss: 0.595069, acc.: 65.62%] [G loss: 0.967495]\n",
            "4437 [D loss: 0.674326, acc.: 60.94%] [G loss: 1.013572]\n",
            "4438 [D loss: 0.673348, acc.: 60.94%] [G loss: 0.944218]\n",
            "4439 [D loss: 0.626815, acc.: 67.19%] [G loss: 0.938436]\n",
            "4440 [D loss: 0.692713, acc.: 57.81%] [G loss: 0.922410]\n",
            "4441 [D loss: 0.661034, acc.: 68.75%] [G loss: 0.866763]\n",
            "4442 [D loss: 0.672143, acc.: 59.38%] [G loss: 0.911184]\n",
            "4443 [D loss: 0.672452, acc.: 54.69%] [G loss: 0.920933]\n",
            "4444 [D loss: 0.700127, acc.: 50.00%] [G loss: 0.931346]\n",
            "4445 [D loss: 0.656890, acc.: 64.06%] [G loss: 1.002503]\n",
            "4446 [D loss: 0.680466, acc.: 54.69%] [G loss: 0.948075]\n",
            "4447 [D loss: 0.641062, acc.: 71.88%] [G loss: 0.953130]\n",
            "4448 [D loss: 0.639481, acc.: 54.69%] [G loss: 0.977593]\n",
            "4449 [D loss: 0.637331, acc.: 64.06%] [G loss: 0.921853]\n",
            "4450 [D loss: 0.707774, acc.: 54.69%] [G loss: 0.976740]\n",
            "4451 [D loss: 0.664502, acc.: 50.00%] [G loss: 0.942490]\n",
            "4452 [D loss: 0.636269, acc.: 65.62%] [G loss: 0.938643]\n",
            "4453 [D loss: 0.613627, acc.: 62.50%] [G loss: 0.880885]\n",
            "4454 [D loss: 0.643655, acc.: 60.94%] [G loss: 0.896599]\n",
            "4455 [D loss: 0.608081, acc.: 67.19%] [G loss: 0.847502]\n",
            "4456 [D loss: 0.744469, acc.: 48.44%] [G loss: 0.879754]\n",
            "4457 [D loss: 0.665929, acc.: 62.50%] [G loss: 0.886772]\n",
            "4458 [D loss: 0.617881, acc.: 67.19%] [G loss: 0.863634]\n",
            "4459 [D loss: 0.646636, acc.: 67.19%] [G loss: 0.959053]\n",
            "4460 [D loss: 0.682144, acc.: 59.38%] [G loss: 0.876957]\n",
            "4461 [D loss: 0.608789, acc.: 73.44%] [G loss: 0.930624]\n",
            "4462 [D loss: 0.656883, acc.: 60.94%] [G loss: 0.932136]\n",
            "4463 [D loss: 0.644600, acc.: 62.50%] [G loss: 0.939132]\n",
            "4464 [D loss: 0.780013, acc.: 50.00%] [G loss: 0.950437]\n",
            "4465 [D loss: 0.655020, acc.: 59.38%] [G loss: 0.948486]\n",
            "4466 [D loss: 0.652765, acc.: 65.62%] [G loss: 0.990807]\n",
            "4467 [D loss: 0.665866, acc.: 59.38%] [G loss: 0.916898]\n",
            "4468 [D loss: 0.655681, acc.: 60.94%] [G loss: 0.944455]\n",
            "4469 [D loss: 0.631912, acc.: 60.94%] [G loss: 0.922343]\n",
            "4470 [D loss: 0.607799, acc.: 71.88%] [G loss: 0.906257]\n",
            "4471 [D loss: 0.657572, acc.: 60.94%] [G loss: 0.839800]\n",
            "4472 [D loss: 0.657746, acc.: 67.19%] [G loss: 0.836370]\n",
            "4473 [D loss: 0.609629, acc.: 67.19%] [G loss: 0.886698]\n",
            "4474 [D loss: 0.626008, acc.: 71.88%] [G loss: 0.878619]\n",
            "4475 [D loss: 0.658172, acc.: 64.06%] [G loss: 0.873506]\n",
            "4476 [D loss: 0.670884, acc.: 59.38%] [G loss: 0.887811]\n",
            "4477 [D loss: 0.656434, acc.: 59.38%] [G loss: 0.863792]\n",
            "4478 [D loss: 0.649675, acc.: 59.38%] [G loss: 0.963274]\n",
            "4479 [D loss: 0.616048, acc.: 70.31%] [G loss: 1.010066]\n",
            "4480 [D loss: 0.637743, acc.: 62.50%] [G loss: 0.895840]\n",
            "4481 [D loss: 0.635743, acc.: 56.25%] [G loss: 0.904350]\n",
            "4482 [D loss: 0.605124, acc.: 67.19%] [G loss: 0.913715]\n",
            "4483 [D loss: 0.625119, acc.: 65.62%] [G loss: 0.890162]\n",
            "4484 [D loss: 0.682355, acc.: 57.81%] [G loss: 0.839625]\n",
            "4485 [D loss: 0.682290, acc.: 62.50%] [G loss: 0.924631]\n",
            "4486 [D loss: 0.620025, acc.: 64.06%] [G loss: 0.868848]\n",
            "4487 [D loss: 0.572964, acc.: 71.88%] [G loss: 0.902365]\n",
            "4488 [D loss: 0.613038, acc.: 71.88%] [G loss: 0.868617]\n",
            "4489 [D loss: 0.576456, acc.: 73.44%] [G loss: 0.933187]\n",
            "4490 [D loss: 0.654200, acc.: 53.12%] [G loss: 0.892655]\n",
            "4491 [D loss: 0.659464, acc.: 64.06%] [G loss: 0.867028]\n",
            "4492 [D loss: 0.649343, acc.: 59.38%] [G loss: 0.886341]\n",
            "4493 [D loss: 0.666349, acc.: 62.50%] [G loss: 0.804775]\n",
            "4494 [D loss: 0.650827, acc.: 57.81%] [G loss: 0.799895]\n",
            "4495 [D loss: 0.668525, acc.: 56.25%] [G loss: 0.850064]\n",
            "4496 [D loss: 0.655959, acc.: 57.81%] [G loss: 0.841743]\n",
            "4497 [D loss: 0.670785, acc.: 59.38%] [G loss: 0.901365]\n",
            "4498 [D loss: 0.676169, acc.: 65.62%] [G loss: 0.873073]\n",
            "4499 [D loss: 0.662926, acc.: 56.25%] [G loss: 0.888058]\n",
            "4500 [D loss: 0.701056, acc.: 50.00%] [G loss: 0.887882]\n",
            "4501 [D loss: 0.670605, acc.: 56.25%] [G loss: 0.943901]\n",
            "4502 [D loss: 0.623682, acc.: 67.19%] [G loss: 0.860783]\n",
            "4503 [D loss: 0.672181, acc.: 59.38%] [G loss: 0.852945]\n",
            "4504 [D loss: 0.684301, acc.: 62.50%] [G loss: 0.858944]\n",
            "4505 [D loss: 0.673328, acc.: 64.06%] [G loss: 0.785665]\n",
            "4506 [D loss: 0.620314, acc.: 67.19%] [G loss: 0.812983]\n",
            "4507 [D loss: 0.661379, acc.: 62.50%] [G loss: 0.874756]\n",
            "4508 [D loss: 0.694253, acc.: 59.38%] [G loss: 0.839012]\n",
            "4509 [D loss: 0.696598, acc.: 53.12%] [G loss: 0.814616]\n",
            "4510 [D loss: 0.656705, acc.: 65.62%] [G loss: 0.929372]\n",
            "4511 [D loss: 0.626065, acc.: 60.94%] [G loss: 0.882777]\n",
            "4512 [D loss: 0.667542, acc.: 59.38%] [G loss: 0.840580]\n",
            "4513 [D loss: 0.674915, acc.: 53.12%] [G loss: 0.981825]\n",
            "4514 [D loss: 0.677393, acc.: 59.38%] [G loss: 0.832562]\n",
            "4515 [D loss: 0.622615, acc.: 64.06%] [G loss: 0.948206]\n",
            "4516 [D loss: 0.646749, acc.: 64.06%] [G loss: 0.855360]\n",
            "4517 [D loss: 0.688126, acc.: 53.12%] [G loss: 0.903328]\n",
            "4518 [D loss: 0.620608, acc.: 67.19%] [G loss: 0.834468]\n",
            "4519 [D loss: 0.670214, acc.: 60.94%] [G loss: 0.864862]\n",
            "4520 [D loss: 0.639574, acc.: 65.62%] [G loss: 0.774940]\n",
            "4521 [D loss: 0.701546, acc.: 46.88%] [G loss: 0.842843]\n",
            "4522 [D loss: 0.566165, acc.: 79.69%] [G loss: 0.941428]\n",
            "4523 [D loss: 0.675141, acc.: 57.81%] [G loss: 0.916030]\n",
            "4524 [D loss: 0.706600, acc.: 54.69%] [G loss: 0.846794]\n",
            "4525 [D loss: 0.617706, acc.: 68.75%] [G loss: 0.860020]\n",
            "4526 [D loss: 0.614643, acc.: 59.38%] [G loss: 0.864426]\n",
            "4527 [D loss: 0.679433, acc.: 56.25%] [G loss: 0.937157]\n",
            "4528 [D loss: 0.587159, acc.: 70.31%] [G loss: 1.033782]\n",
            "4529 [D loss: 0.666976, acc.: 59.38%] [G loss: 0.929830]\n",
            "4530 [D loss: 0.608796, acc.: 75.00%] [G loss: 0.893059]\n",
            "4531 [D loss: 0.676656, acc.: 57.81%] [G loss: 0.992083]\n",
            "4532 [D loss: 0.676508, acc.: 65.62%] [G loss: 1.054347]\n",
            "4533 [D loss: 0.649183, acc.: 67.19%] [G loss: 0.981584]\n",
            "4534 [D loss: 0.623806, acc.: 67.19%] [G loss: 0.877048]\n",
            "4535 [D loss: 0.702699, acc.: 54.69%] [G loss: 0.871026]\n",
            "4536 [D loss: 0.583521, acc.: 73.44%] [G loss: 0.908490]\n",
            "4537 [D loss: 0.620578, acc.: 64.06%] [G loss: 0.892089]\n",
            "4538 [D loss: 0.658219, acc.: 56.25%] [G loss: 0.880433]\n",
            "4539 [D loss: 0.643769, acc.: 67.19%] [G loss: 0.834068]\n",
            "4540 [D loss: 0.663741, acc.: 54.69%] [G loss: 0.842467]\n",
            "4541 [D loss: 0.672253, acc.: 59.38%] [G loss: 0.890944]\n",
            "4542 [D loss: 0.653676, acc.: 60.94%] [G loss: 0.930327]\n",
            "4543 [D loss: 0.681281, acc.: 56.25%] [G loss: 0.850037]\n",
            "4544 [D loss: 0.648828, acc.: 59.38%] [G loss: 0.948484]\n",
            "4545 [D loss: 0.667032, acc.: 56.25%] [G loss: 0.898774]\n",
            "4546 [D loss: 0.676403, acc.: 56.25%] [G loss: 0.925013]\n",
            "4547 [D loss: 0.573206, acc.: 67.19%] [G loss: 0.964302]\n",
            "4548 [D loss: 0.640479, acc.: 60.94%] [G loss: 0.953165]\n",
            "4549 [D loss: 0.639828, acc.: 57.81%] [G loss: 0.942549]\n",
            "4550 [D loss: 0.735728, acc.: 50.00%] [G loss: 0.837058]\n",
            "4551 [D loss: 0.627109, acc.: 65.62%] [G loss: 0.954098]\n",
            "4552 [D loss: 0.671040, acc.: 53.12%] [G loss: 0.900496]\n",
            "4553 [D loss: 0.609773, acc.: 68.75%] [G loss: 0.919851]\n",
            "4554 [D loss: 0.662822, acc.: 56.25%] [G loss: 0.882868]\n",
            "4555 [D loss: 0.680216, acc.: 59.38%] [G loss: 0.913021]\n",
            "4556 [D loss: 0.592824, acc.: 68.75%] [G loss: 0.954521]\n",
            "4557 [D loss: 0.586721, acc.: 71.88%] [G loss: 0.956152]\n",
            "4558 [D loss: 0.717110, acc.: 51.56%] [G loss: 0.874592]\n",
            "4559 [D loss: 0.680884, acc.: 56.25%] [G loss: 0.926919]\n",
            "4560 [D loss: 0.618518, acc.: 67.19%] [G loss: 0.909634]\n",
            "4561 [D loss: 0.577257, acc.: 73.44%] [G loss: 0.928150]\n",
            "4562 [D loss: 0.666609, acc.: 60.94%] [G loss: 0.996119]\n",
            "4563 [D loss: 0.651463, acc.: 60.94%] [G loss: 0.874572]\n",
            "4564 [D loss: 0.716858, acc.: 57.81%] [G loss: 0.826177]\n",
            "4565 [D loss: 0.644884, acc.: 59.38%] [G loss: 0.875586]\n",
            "4566 [D loss: 0.649074, acc.: 54.69%] [G loss: 0.823036]\n",
            "4567 [D loss: 0.702647, acc.: 57.81%] [G loss: 0.836586]\n",
            "4568 [D loss: 0.673452, acc.: 57.81%] [G loss: 0.742491]\n",
            "4569 [D loss: 0.631297, acc.: 59.38%] [G loss: 0.871311]\n",
            "4570 [D loss: 0.629333, acc.: 68.75%] [G loss: 0.815936]\n",
            "4571 [D loss: 0.657566, acc.: 62.50%] [G loss: 0.818109]\n",
            "4572 [D loss: 0.687973, acc.: 57.81%] [G loss: 0.851465]\n",
            "4573 [D loss: 0.641616, acc.: 60.94%] [G loss: 0.886360]\n",
            "4574 [D loss: 0.692352, acc.: 51.56%] [G loss: 0.959915]\n",
            "4575 [D loss: 0.600803, acc.: 65.62%] [G loss: 0.861606]\n",
            "4576 [D loss: 0.634562, acc.: 65.62%] [G loss: 1.020205]\n",
            "4577 [D loss: 0.685157, acc.: 54.69%] [G loss: 0.874332]\n",
            "4578 [D loss: 0.579713, acc.: 64.06%] [G loss: 0.828085]\n",
            "4579 [D loss: 0.614439, acc.: 71.88%] [G loss: 0.920043]\n",
            "4580 [D loss: 0.683622, acc.: 56.25%] [G loss: 0.925023]\n",
            "4581 [D loss: 0.674016, acc.: 51.56%] [G loss: 0.861628]\n",
            "4582 [D loss: 0.706150, acc.: 56.25%] [G loss: 0.890294]\n",
            "4583 [D loss: 0.656774, acc.: 57.81%] [G loss: 0.942854]\n",
            "4584 [D loss: 0.702748, acc.: 57.81%] [G loss: 0.921131]\n",
            "4585 [D loss: 0.664644, acc.: 56.25%] [G loss: 0.811272]\n",
            "4586 [D loss: 0.638382, acc.: 70.31%] [G loss: 0.777348]\n",
            "4587 [D loss: 0.647731, acc.: 64.06%] [G loss: 0.830197]\n",
            "4588 [D loss: 0.670649, acc.: 59.38%] [G loss: 0.897994]\n",
            "4589 [D loss: 0.638327, acc.: 64.06%] [G loss: 0.877285]\n",
            "4590 [D loss: 0.656788, acc.: 64.06%] [G loss: 0.954744]\n",
            "4591 [D loss: 0.700736, acc.: 56.25%] [G loss: 0.899246]\n",
            "4592 [D loss: 0.651031, acc.: 60.94%] [G loss: 1.005827]\n",
            "4593 [D loss: 0.680385, acc.: 51.56%] [G loss: 0.888942]\n",
            "4594 [D loss: 0.628101, acc.: 67.19%] [G loss: 0.891387]\n",
            "4595 [D loss: 0.628948, acc.: 60.94%] [G loss: 0.900349]\n",
            "4596 [D loss: 0.717011, acc.: 51.56%] [G loss: 0.979282]\n",
            "4597 [D loss: 0.599284, acc.: 75.00%] [G loss: 0.882637]\n",
            "4598 [D loss: 0.691249, acc.: 56.25%] [G loss: 0.829614]\n",
            "4599 [D loss: 0.605854, acc.: 62.50%] [G loss: 0.833734]\n",
            "4600 [D loss: 0.725097, acc.: 54.69%] [G loss: 0.933584]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFPwXHHBwUlDEVgAAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "4601 [D loss: 0.663505, acc.: 65.62%] [G loss: 0.958942]\n",
            "4602 [D loss: 0.668373, acc.: 56.25%] [G loss: 0.871797]\n",
            "4603 [D loss: 0.721252, acc.: 54.69%] [G loss: 0.870561]\n",
            "4604 [D loss: 0.676623, acc.: 65.62%] [G loss: 0.862086]\n",
            "4605 [D loss: 0.672329, acc.: 57.81%] [G loss: 0.882451]\n",
            "4606 [D loss: 0.674940, acc.: 62.50%] [G loss: 0.878467]\n",
            "4607 [D loss: 0.617884, acc.: 71.88%] [G loss: 0.884144]\n",
            "4608 [D loss: 0.748474, acc.: 56.25%] [G loss: 0.931217]\n",
            "4609 [D loss: 0.643817, acc.: 68.75%] [G loss: 0.796957]\n",
            "4610 [D loss: 0.586906, acc.: 76.56%] [G loss: 0.831388]\n",
            "4611 [D loss: 0.649597, acc.: 65.62%] [G loss: 0.917225]\n",
            "4612 [D loss: 0.665879, acc.: 54.69%] [G loss: 0.932664]\n",
            "4613 [D loss: 0.589238, acc.: 70.31%] [G loss: 0.880130]\n",
            "4614 [D loss: 0.665102, acc.: 57.81%] [G loss: 0.914108]\n",
            "4615 [D loss: 0.617855, acc.: 62.50%] [G loss: 0.953282]\n",
            "4616 [D loss: 0.609555, acc.: 70.31%] [G loss: 0.926165]\n",
            "4617 [D loss: 0.618069, acc.: 70.31%] [G loss: 0.947341]\n",
            "4618 [D loss: 0.677019, acc.: 53.12%] [G loss: 0.920210]\n",
            "4619 [D loss: 0.666716, acc.: 62.50%] [G loss: 0.913575]\n",
            "4620 [D loss: 0.685114, acc.: 59.38%] [G loss: 0.881136]\n",
            "4621 [D loss: 0.692001, acc.: 54.69%] [G loss: 0.892000]\n",
            "4622 [D loss: 0.742582, acc.: 53.12%] [G loss: 0.942451]\n",
            "4623 [D loss: 0.643846, acc.: 60.94%] [G loss: 0.888103]\n",
            "4624 [D loss: 0.718318, acc.: 50.00%] [G loss: 0.839646]\n",
            "4625 [D loss: 0.612164, acc.: 75.00%] [G loss: 0.903608]\n",
            "4626 [D loss: 0.674059, acc.: 57.81%] [G loss: 0.919152]\n",
            "4627 [D loss: 0.641253, acc.: 65.62%] [G loss: 0.910077]\n",
            "4628 [D loss: 0.639170, acc.: 60.94%] [G loss: 0.938334]\n",
            "4629 [D loss: 0.644994, acc.: 65.62%] [G loss: 0.911130]\n",
            "4630 [D loss: 0.656957, acc.: 60.94%] [G loss: 0.884091]\n",
            "4631 [D loss: 0.652426, acc.: 60.94%] [G loss: 0.945192]\n",
            "4632 [D loss: 0.668453, acc.: 53.12%] [G loss: 0.929258]\n",
            "4633 [D loss: 0.668003, acc.: 62.50%] [G loss: 0.908108]\n",
            "4634 [D loss: 0.653104, acc.: 73.44%] [G loss: 0.893066]\n",
            "4635 [D loss: 0.612494, acc.: 65.62%] [G loss: 1.040323]\n",
            "4636 [D loss: 0.735260, acc.: 56.25%] [G loss: 1.017761]\n",
            "4637 [D loss: 0.629469, acc.: 64.06%] [G loss: 0.976704]\n",
            "4638 [D loss: 0.614645, acc.: 67.19%] [G loss: 0.885678]\n",
            "4639 [D loss: 0.683025, acc.: 54.69%] [G loss: 0.930219]\n",
            "4640 [D loss: 0.599417, acc.: 65.62%] [G loss: 0.969815]\n",
            "4641 [D loss: 0.649362, acc.: 60.94%] [G loss: 0.869873]\n",
            "4642 [D loss: 0.654233, acc.: 57.81%] [G loss: 0.967978]\n",
            "4643 [D loss: 0.633065, acc.: 62.50%] [G loss: 0.973127]\n",
            "4644 [D loss: 0.658999, acc.: 56.25%] [G loss: 0.895474]\n",
            "4645 [D loss: 0.619294, acc.: 67.19%] [G loss: 0.872949]\n",
            "4646 [D loss: 0.669491, acc.: 59.38%] [G loss: 0.806476]\n",
            "4647 [D loss: 0.681543, acc.: 68.75%] [G loss: 0.801715]\n",
            "4648 [D loss: 0.591634, acc.: 67.19%] [G loss: 0.909466]\n",
            "4649 [D loss: 0.645834, acc.: 60.94%] [G loss: 0.931737]\n",
            "4650 [D loss: 0.635245, acc.: 62.50%] [G loss: 0.967066]\n",
            "4651 [D loss: 0.631202, acc.: 62.50%] [G loss: 1.005426]\n",
            "4652 [D loss: 0.673215, acc.: 56.25%] [G loss: 0.891822]\n",
            "4653 [D loss: 0.645894, acc.: 67.19%] [G loss: 0.881743]\n",
            "4654 [D loss: 0.568129, acc.: 71.88%] [G loss: 0.921360]\n",
            "4655 [D loss: 0.601855, acc.: 70.31%] [G loss: 0.972393]\n",
            "4656 [D loss: 0.630520, acc.: 60.94%] [G loss: 0.821107]\n",
            "4657 [D loss: 0.578113, acc.: 70.31%] [G loss: 0.881500]\n",
            "4658 [D loss: 0.572244, acc.: 62.50%] [G loss: 0.881601]\n",
            "4659 [D loss: 0.630639, acc.: 67.19%] [G loss: 0.946984]\n",
            "4660 [D loss: 0.627103, acc.: 62.50%] [G loss: 0.907939]\n",
            "4661 [D loss: 0.683416, acc.: 54.69%] [G loss: 0.893500]\n",
            "4662 [D loss: 0.715870, acc.: 50.00%] [G loss: 0.869615]\n",
            "4663 [D loss: 0.613573, acc.: 70.31%] [G loss: 0.831386]\n",
            "4664 [D loss: 0.669292, acc.: 57.81%] [G loss: 0.897423]\n",
            "4665 [D loss: 0.633708, acc.: 68.75%] [G loss: 0.941963]\n",
            "4666 [D loss: 0.637607, acc.: 65.62%] [G loss: 0.854878]\n",
            "4667 [D loss: 0.664124, acc.: 59.38%] [G loss: 0.914499]\n",
            "4668 [D loss: 0.651066, acc.: 67.19%] [G loss: 1.006165]\n",
            "4669 [D loss: 0.696966, acc.: 50.00%] [G loss: 0.943016]\n",
            "4670 [D loss: 0.718493, acc.: 51.56%] [G loss: 0.873515]\n",
            "4671 [D loss: 0.680399, acc.: 57.81%] [G loss: 0.935830]\n",
            "4672 [D loss: 0.625646, acc.: 62.50%] [G loss: 0.946895]\n",
            "4673 [D loss: 0.659257, acc.: 56.25%] [G loss: 0.897847]\n",
            "4674 [D loss: 0.636510, acc.: 64.06%] [G loss: 0.889196]\n",
            "4675 [D loss: 0.605014, acc.: 67.19%] [G loss: 0.859053]\n",
            "4676 [D loss: 0.703362, acc.: 54.69%] [G loss: 0.921637]\n",
            "4677 [D loss: 0.643957, acc.: 68.75%] [G loss: 0.973086]\n",
            "4678 [D loss: 0.612971, acc.: 67.19%] [G loss: 0.980240]\n",
            "4679 [D loss: 0.684384, acc.: 53.12%] [G loss: 0.918391]\n",
            "4680 [D loss: 0.625691, acc.: 64.06%] [G loss: 0.927332]\n",
            "4681 [D loss: 0.695186, acc.: 50.00%] [G loss: 0.842033]\n",
            "4682 [D loss: 0.609103, acc.: 60.94%] [G loss: 0.923069]\n",
            "4683 [D loss: 0.644840, acc.: 59.38%] [G loss: 0.869830]\n",
            "4684 [D loss: 0.625306, acc.: 71.88%] [G loss: 0.861896]\n",
            "4685 [D loss: 0.647872, acc.: 60.94%] [G loss: 0.870408]\n",
            "4686 [D loss: 0.688053, acc.: 60.94%] [G loss: 0.849813]\n",
            "4687 [D loss: 0.647312, acc.: 56.25%] [G loss: 0.902195]\n",
            "4688 [D loss: 0.627271, acc.: 57.81%] [G loss: 0.869984]\n",
            "4689 [D loss: 0.644755, acc.: 57.81%] [G loss: 0.895108]\n",
            "4690 [D loss: 0.598984, acc.: 67.19%] [G loss: 0.909753]\n",
            "4691 [D loss: 0.633312, acc.: 64.06%] [G loss: 0.890334]\n",
            "4692 [D loss: 0.650884, acc.: 53.12%] [G loss: 0.899549]\n",
            "4693 [D loss: 0.707313, acc.: 48.44%] [G loss: 0.834492]\n",
            "4694 [D loss: 0.680536, acc.: 62.50%] [G loss: 0.927496]\n",
            "4695 [D loss: 0.627936, acc.: 62.50%] [G loss: 0.920615]\n",
            "4696 [D loss: 0.652957, acc.: 70.31%] [G loss: 0.931419]\n",
            "4697 [D loss: 0.653995, acc.: 60.94%] [G loss: 0.894768]\n",
            "4698 [D loss: 0.639336, acc.: 54.69%] [G loss: 0.897439]\n",
            "4699 [D loss: 0.646490, acc.: 67.19%] [G loss: 0.850671]\n",
            "4700 [D loss: 0.702198, acc.: 62.50%] [G loss: 0.922373]\n",
            "4701 [D loss: 0.604722, acc.: 67.19%] [G loss: 0.912260]\n",
            "4702 [D loss: 0.614144, acc.: 65.62%] [G loss: 0.839468]\n",
            "4703 [D loss: 0.648293, acc.: 65.62%] [G loss: 0.866499]\n",
            "4704 [D loss: 0.594608, acc.: 79.69%] [G loss: 0.924030]\n",
            "4705 [D loss: 0.637270, acc.: 56.25%] [G loss: 0.944410]\n",
            "4706 [D loss: 0.569928, acc.: 70.31%] [G loss: 0.827021]\n",
            "4707 [D loss: 0.686973, acc.: 57.81%] [G loss: 0.876813]\n",
            "4708 [D loss: 0.714458, acc.: 50.00%] [G loss: 0.936882]\n",
            "4709 [D loss: 0.693524, acc.: 54.69%] [G loss: 0.856068]\n",
            "4710 [D loss: 0.641933, acc.: 60.94%] [G loss: 0.922009]\n",
            "4711 [D loss: 0.629783, acc.: 65.62%] [G loss: 0.930093]\n",
            "4712 [D loss: 0.650121, acc.: 67.19%] [G loss: 0.906169]\n",
            "4713 [D loss: 0.664764, acc.: 51.56%] [G loss: 0.897374]\n",
            "4714 [D loss: 0.667754, acc.: 62.50%] [G loss: 0.871324]\n",
            "4715 [D loss: 0.659504, acc.: 64.06%] [G loss: 0.867942]\n",
            "4716 [D loss: 0.595302, acc.: 67.19%] [G loss: 0.928297]\n",
            "4717 [D loss: 0.669615, acc.: 60.94%] [G loss: 0.943144]\n",
            "4718 [D loss: 0.639002, acc.: 60.94%] [G loss: 0.918674]\n",
            "4719 [D loss: 0.631953, acc.: 67.19%] [G loss: 0.786158]\n",
            "4720 [D loss: 0.603538, acc.: 67.19%] [G loss: 0.880596]\n",
            "4721 [D loss: 0.608579, acc.: 68.75%] [G loss: 0.971650]\n",
            "4722 [D loss: 0.641933, acc.: 64.06%] [G loss: 0.921745]\n",
            "4723 [D loss: 0.601514, acc.: 70.31%] [G loss: 0.947108]\n",
            "4724 [D loss: 0.559040, acc.: 68.75%] [G loss: 0.928425]\n",
            "4725 [D loss: 0.676636, acc.: 57.81%] [G loss: 0.900591]\n",
            "4726 [D loss: 0.610532, acc.: 64.06%] [G loss: 0.840370]\n",
            "4727 [D loss: 0.623439, acc.: 65.62%] [G loss: 0.947379]\n",
            "4728 [D loss: 0.665956, acc.: 64.06%] [G loss: 0.912558]\n",
            "4729 [D loss: 0.717404, acc.: 53.12%] [G loss: 0.980410]\n",
            "4730 [D loss: 0.634881, acc.: 60.94%] [G loss: 0.972833]\n",
            "4731 [D loss: 0.614566, acc.: 65.62%] [G loss: 0.883284]\n",
            "4732 [D loss: 0.626146, acc.: 67.19%] [G loss: 0.886590]\n",
            "4733 [D loss: 0.655692, acc.: 60.94%] [G loss: 0.879862]\n",
            "4734 [D loss: 0.606602, acc.: 65.62%] [G loss: 0.994635]\n",
            "4735 [D loss: 0.686406, acc.: 68.75%] [G loss: 0.872986]\n",
            "4736 [D loss: 0.625886, acc.: 65.62%] [G loss: 0.866502]\n",
            "4737 [D loss: 0.636232, acc.: 71.88%] [G loss: 0.897527]\n",
            "4738 [D loss: 0.610871, acc.: 67.19%] [G loss: 0.919447]\n",
            "4739 [D loss: 0.641255, acc.: 64.06%] [G loss: 0.921648]\n",
            "4740 [D loss: 0.664145, acc.: 57.81%] [G loss: 0.983872]\n",
            "4741 [D loss: 0.618148, acc.: 67.19%] [G loss: 0.903601]\n",
            "4742 [D loss: 0.624667, acc.: 68.75%] [G loss: 0.963059]\n",
            "4743 [D loss: 0.653029, acc.: 62.50%] [G loss: 0.859176]\n",
            "4744 [D loss: 0.704664, acc.: 48.44%] [G loss: 0.831220]\n",
            "4745 [D loss: 0.687224, acc.: 59.38%] [G loss: 0.916410]\n",
            "4746 [D loss: 0.665846, acc.: 60.94%] [G loss: 0.904128]\n",
            "4747 [D loss: 0.692374, acc.: 53.12%] [G loss: 0.920963]\n",
            "4748 [D loss: 0.606193, acc.: 68.75%] [G loss: 0.934415]\n",
            "4749 [D loss: 0.674534, acc.: 59.38%] [G loss: 0.897017]\n",
            "4750 [D loss: 0.669978, acc.: 64.06%] [G loss: 0.882767]\n",
            "4751 [D loss: 0.628343, acc.: 68.75%] [G loss: 0.945087]\n",
            "4752 [D loss: 0.648753, acc.: 59.38%] [G loss: 0.880953]\n",
            "4753 [D loss: 0.655429, acc.: 62.50%] [G loss: 0.913301]\n",
            "4754 [D loss: 0.683514, acc.: 64.06%] [G loss: 0.874758]\n",
            "4755 [D loss: 0.654970, acc.: 59.38%] [G loss: 0.807052]\n",
            "4756 [D loss: 0.624690, acc.: 68.75%] [G loss: 0.954788]\n",
            "4757 [D loss: 0.716207, acc.: 59.38%] [G loss: 0.933760]\n",
            "4758 [D loss: 0.622756, acc.: 67.19%] [G loss: 0.932883]\n",
            "4759 [D loss: 0.648392, acc.: 64.06%] [G loss: 1.009248]\n",
            "4760 [D loss: 0.660559, acc.: 65.62%] [G loss: 0.982648]\n",
            "4761 [D loss: 0.671476, acc.: 56.25%] [G loss: 1.015155]\n",
            "4762 [D loss: 0.698987, acc.: 54.69%] [G loss: 0.929648]\n",
            "4763 [D loss: 0.641558, acc.: 65.62%] [G loss: 0.886457]\n",
            "4764 [D loss: 0.680240, acc.: 54.69%] [G loss: 0.882325]\n",
            "4765 [D loss: 0.682917, acc.: 57.81%] [G loss: 0.965605]\n",
            "4766 [D loss: 0.660170, acc.: 65.62%] [G loss: 0.924342]\n",
            "4767 [D loss: 0.647979, acc.: 62.50%] [G loss: 0.841320]\n",
            "4768 [D loss: 0.608528, acc.: 67.19%] [G loss: 0.847137]\n",
            "4769 [D loss: 0.640968, acc.: 64.06%] [G loss: 0.797295]\n",
            "4770 [D loss: 0.704474, acc.: 43.75%] [G loss: 0.806482]\n",
            "4771 [D loss: 0.613402, acc.: 71.88%] [G loss: 0.840457]\n",
            "4772 [D loss: 0.660736, acc.: 57.81%] [G loss: 0.876638]\n",
            "4773 [D loss: 0.649606, acc.: 62.50%] [G loss: 0.932305]\n",
            "4774 [D loss: 0.637593, acc.: 68.75%] [G loss: 0.950698]\n",
            "4775 [D loss: 0.648204, acc.: 56.25%] [G loss: 0.966553]\n",
            "4776 [D loss: 0.628194, acc.: 62.50%] [G loss: 0.923239]\n",
            "4777 [D loss: 0.680011, acc.: 67.19%] [G loss: 0.888337]\n",
            "4778 [D loss: 0.650151, acc.: 59.38%] [G loss: 0.877846]\n",
            "4779 [D loss: 0.665002, acc.: 57.81%] [G loss: 0.962164]\n",
            "4780 [D loss: 0.663197, acc.: 60.94%] [G loss: 0.855135]\n",
            "4781 [D loss: 0.737118, acc.: 57.81%] [G loss: 0.951763]\n",
            "4782 [D loss: 0.668108, acc.: 57.81%] [G loss: 1.002803]\n",
            "4783 [D loss: 0.682762, acc.: 56.25%] [G loss: 0.949568]\n",
            "4784 [D loss: 0.693115, acc.: 54.69%] [G loss: 0.937658]\n",
            "4785 [D loss: 0.624318, acc.: 68.75%] [G loss: 0.893565]\n",
            "4786 [D loss: 0.666090, acc.: 64.06%] [G loss: 0.859994]\n",
            "4787 [D loss: 0.617486, acc.: 65.62%] [G loss: 0.821787]\n",
            "4788 [D loss: 0.648500, acc.: 54.69%] [G loss: 0.903373]\n",
            "4789 [D loss: 0.644319, acc.: 59.38%] [G loss: 0.860458]\n",
            "4790 [D loss: 0.649646, acc.: 59.38%] [G loss: 0.892196]\n",
            "4791 [D loss: 0.593797, acc.: 71.88%] [G loss: 1.019208]\n",
            "4792 [D loss: 0.649995, acc.: 64.06%] [G loss: 0.883918]\n",
            "4793 [D loss: 0.580088, acc.: 67.19%] [G loss: 0.978988]\n",
            "4794 [D loss: 0.690105, acc.: 50.00%] [G loss: 0.955307]\n",
            "4795 [D loss: 0.638211, acc.: 67.19%] [G loss: 0.977706]\n",
            "4796 [D loss: 0.698861, acc.: 57.81%] [G loss: 0.984359]\n",
            "4797 [D loss: 0.719042, acc.: 51.56%] [G loss: 0.901429]\n",
            "4798 [D loss: 0.664775, acc.: 59.38%] [G loss: 1.024918]\n",
            "4799 [D loss: 0.670031, acc.: 60.94%] [G loss: 0.934711]\n",
            "4800 [D loss: 0.658576, acc.: 62.50%] [G loss: 0.908893]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEgQMdoSQIGCwI4QEwf8AcZCyQLYpXboAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "4801 [D loss: 0.677810, acc.: 53.12%] [G loss: 0.956140]\n",
            "4802 [D loss: 0.597450, acc.: 68.75%] [G loss: 0.935679]\n",
            "4803 [D loss: 0.653638, acc.: 53.12%] [G loss: 0.961047]\n",
            "4804 [D loss: 0.688476, acc.: 60.94%] [G loss: 0.950690]\n",
            "4805 [D loss: 0.593989, acc.: 70.31%] [G loss: 0.979446]\n",
            "4806 [D loss: 0.736199, acc.: 45.31%] [G loss: 0.922839]\n",
            "4807 [D loss: 0.623294, acc.: 71.88%] [G loss: 0.887673]\n",
            "4808 [D loss: 0.665282, acc.: 50.00%] [G loss: 0.844850]\n",
            "4809 [D loss: 0.622363, acc.: 73.44%] [G loss: 0.854749]\n",
            "4810 [D loss: 0.676304, acc.: 59.38%] [G loss: 0.874268]\n",
            "4811 [D loss: 0.645027, acc.: 59.38%] [G loss: 0.790010]\n",
            "4812 [D loss: 0.660500, acc.: 68.75%] [G loss: 0.902089]\n",
            "4813 [D loss: 0.650038, acc.: 59.38%] [G loss: 0.879965]\n",
            "4814 [D loss: 0.616558, acc.: 62.50%] [G loss: 0.849550]\n",
            "4815 [D loss: 0.595489, acc.: 67.19%] [G loss: 0.985827]\n",
            "4816 [D loss: 0.612444, acc.: 65.62%] [G loss: 0.876516]\n",
            "4817 [D loss: 0.681185, acc.: 50.00%] [G loss: 0.862163]\n",
            "4818 [D loss: 0.595887, acc.: 65.62%] [G loss: 0.902566]\n",
            "4819 [D loss: 0.619082, acc.: 62.50%] [G loss: 0.879682]\n",
            "4820 [D loss: 0.691107, acc.: 64.06%] [G loss: 0.975298]\n",
            "4821 [D loss: 0.655193, acc.: 59.38%] [G loss: 0.951443]\n",
            "4822 [D loss: 0.680196, acc.: 56.25%] [G loss: 0.907505]\n",
            "4823 [D loss: 0.618510, acc.: 57.81%] [G loss: 0.867163]\n",
            "4824 [D loss: 0.628119, acc.: 68.75%] [G loss: 0.925720]\n",
            "4825 [D loss: 0.634120, acc.: 59.38%] [G loss: 0.873029]\n",
            "4826 [D loss: 0.633814, acc.: 65.62%] [G loss: 0.914743]\n",
            "4827 [D loss: 0.712628, acc.: 48.44%] [G loss: 0.908418]\n",
            "4828 [D loss: 0.653288, acc.: 56.25%] [G loss: 0.887094]\n",
            "4829 [D loss: 0.660080, acc.: 54.69%] [G loss: 0.907006]\n",
            "4830 [D loss: 0.631076, acc.: 71.88%] [G loss: 0.916443]\n",
            "4831 [D loss: 0.605960, acc.: 68.75%] [G loss: 0.902480]\n",
            "4832 [D loss: 0.714152, acc.: 50.00%] [G loss: 0.825892]\n",
            "4833 [D loss: 0.641826, acc.: 60.94%] [G loss: 0.832946]\n",
            "4834 [D loss: 0.708383, acc.: 53.12%] [G loss: 0.954814]\n",
            "4835 [D loss: 0.674238, acc.: 56.25%] [G loss: 0.865981]\n",
            "4836 [D loss: 0.667678, acc.: 59.38%] [G loss: 0.853902]\n",
            "4837 [D loss: 0.659303, acc.: 56.25%] [G loss: 0.863266]\n",
            "4838 [D loss: 0.615399, acc.: 70.31%] [G loss: 0.843902]\n",
            "4839 [D loss: 0.641860, acc.: 70.31%] [G loss: 0.869553]\n",
            "4840 [D loss: 0.609649, acc.: 75.00%] [G loss: 0.966734]\n",
            "4841 [D loss: 0.663673, acc.: 53.12%] [G loss: 0.962494]\n",
            "4842 [D loss: 0.652903, acc.: 62.50%] [G loss: 0.963929]\n",
            "4843 [D loss: 0.627376, acc.: 62.50%] [G loss: 0.887951]\n",
            "4844 [D loss: 0.572467, acc.: 71.88%] [G loss: 0.996581]\n",
            "4845 [D loss: 0.613286, acc.: 71.88%] [G loss: 0.923850]\n",
            "4846 [D loss: 0.670513, acc.: 67.19%] [G loss: 0.939108]\n",
            "4847 [D loss: 0.622626, acc.: 64.06%] [G loss: 0.949857]\n",
            "4848 [D loss: 0.709702, acc.: 51.56%] [G loss: 0.960274]\n",
            "4849 [D loss: 0.600266, acc.: 70.31%] [G loss: 0.935314]\n",
            "4850 [D loss: 0.647439, acc.: 67.19%] [G loss: 0.880524]\n",
            "4851 [D loss: 0.611341, acc.: 59.38%] [G loss: 0.982306]\n",
            "4852 [D loss: 0.709728, acc.: 56.25%] [G loss: 0.940453]\n",
            "4853 [D loss: 0.627500, acc.: 73.44%] [G loss: 0.868500]\n",
            "4854 [D loss: 0.693877, acc.: 54.69%] [G loss: 0.848699]\n",
            "4855 [D loss: 0.617176, acc.: 62.50%] [G loss: 0.862007]\n",
            "4856 [D loss: 0.651970, acc.: 62.50%] [G loss: 0.896692]\n",
            "4857 [D loss: 0.629394, acc.: 65.62%] [G loss: 0.842763]\n",
            "4858 [D loss: 0.684876, acc.: 62.50%] [G loss: 0.852637]\n",
            "4859 [D loss: 0.637907, acc.: 73.44%] [G loss: 0.971308]\n",
            "4860 [D loss: 0.672918, acc.: 64.06%] [G loss: 0.960206]\n",
            "4861 [D loss: 0.619271, acc.: 70.31%] [G loss: 1.008418]\n",
            "4862 [D loss: 0.720808, acc.: 46.88%] [G loss: 0.947601]\n",
            "4863 [D loss: 0.661125, acc.: 64.06%] [G loss: 0.985975]\n",
            "4864 [D loss: 0.616532, acc.: 62.50%] [G loss: 0.822943]\n",
            "4865 [D loss: 0.610642, acc.: 67.19%] [G loss: 0.856171]\n",
            "4866 [D loss: 0.740453, acc.: 50.00%] [G loss: 0.855518]\n",
            "4867 [D loss: 0.682316, acc.: 62.50%] [G loss: 0.857618]\n",
            "4868 [D loss: 0.651126, acc.: 57.81%] [G loss: 0.889962]\n",
            "4869 [D loss: 0.683055, acc.: 59.38%] [G loss: 0.982130]\n",
            "4870 [D loss: 0.646117, acc.: 64.06%] [G loss: 0.972064]\n",
            "4871 [D loss: 0.629156, acc.: 60.94%] [G loss: 0.910057]\n",
            "4872 [D loss: 0.673459, acc.: 56.25%] [G loss: 0.892975]\n",
            "4873 [D loss: 0.659484, acc.: 60.94%] [G loss: 0.875116]\n",
            "4874 [D loss: 0.641113, acc.: 59.38%] [G loss: 0.910936]\n",
            "4875 [D loss: 0.616986, acc.: 68.75%] [G loss: 0.953681]\n",
            "4876 [D loss: 0.645916, acc.: 62.50%] [G loss: 0.925483]\n",
            "4877 [D loss: 0.666881, acc.: 53.12%] [G loss: 0.930885]\n",
            "4878 [D loss: 0.609325, acc.: 70.31%] [G loss: 0.916481]\n",
            "4879 [D loss: 0.619834, acc.: 62.50%] [G loss: 0.973288]\n",
            "4880 [D loss: 0.639121, acc.: 62.50%] [G loss: 0.931436]\n",
            "4881 [D loss: 0.642655, acc.: 65.62%] [G loss: 0.905873]\n",
            "4882 [D loss: 0.671359, acc.: 54.69%] [G loss: 0.969998]\n",
            "4883 [D loss: 0.645034, acc.: 60.94%] [G loss: 0.863010]\n",
            "4884 [D loss: 0.623217, acc.: 64.06%] [G loss: 0.981055]\n",
            "4885 [D loss: 0.652699, acc.: 59.38%] [G loss: 0.838811]\n",
            "4886 [D loss: 0.654686, acc.: 54.69%] [G loss: 0.882570]\n",
            "4887 [D loss: 0.667611, acc.: 51.56%] [G loss: 0.903926]\n",
            "4888 [D loss: 0.638277, acc.: 65.62%] [G loss: 0.932228]\n",
            "4889 [D loss: 0.640375, acc.: 67.19%] [G loss: 0.930828]\n",
            "4890 [D loss: 0.636674, acc.: 59.38%] [G loss: 0.828951]\n",
            "4891 [D loss: 0.590196, acc.: 70.31%] [G loss: 0.918629]\n",
            "4892 [D loss: 0.656150, acc.: 62.50%] [G loss: 0.900897]\n",
            "4893 [D loss: 0.652645, acc.: 60.94%] [G loss: 0.891241]\n",
            "4894 [D loss: 0.653755, acc.: 57.81%] [G loss: 0.985663]\n",
            "4895 [D loss: 0.739459, acc.: 50.00%] [G loss: 1.012836]\n",
            "4896 [D loss: 0.700168, acc.: 54.69%] [G loss: 0.960027]\n",
            "4897 [D loss: 0.666687, acc.: 59.38%] [G loss: 0.936185]\n",
            "4898 [D loss: 0.681798, acc.: 62.50%] [G loss: 0.950787]\n",
            "4899 [D loss: 0.642791, acc.: 59.38%] [G loss: 0.969110]\n",
            "4900 [D loss: 0.620178, acc.: 65.62%] [G loss: 0.867646]\n",
            "4901 [D loss: 0.669366, acc.: 54.69%] [G loss: 0.837895]\n",
            "4902 [D loss: 0.682562, acc.: 56.25%] [G loss: 0.831353]\n",
            "4903 [D loss: 0.681651, acc.: 51.56%] [G loss: 0.889731]\n",
            "4904 [D loss: 0.698464, acc.: 57.81%] [G loss: 0.932029]\n",
            "4905 [D loss: 0.597821, acc.: 68.75%] [G loss: 0.933701]\n",
            "4906 [D loss: 0.666164, acc.: 57.81%] [G loss: 0.929350]\n",
            "4907 [D loss: 0.644140, acc.: 57.81%] [G loss: 0.957785]\n",
            "4908 [D loss: 0.586581, acc.: 73.44%] [G loss: 0.860902]\n",
            "4909 [D loss: 0.712099, acc.: 51.56%] [G loss: 0.921809]\n",
            "4910 [D loss: 0.644871, acc.: 64.06%] [G loss: 0.870101]\n",
            "4911 [D loss: 0.734253, acc.: 45.31%] [G loss: 0.908479]\n",
            "4912 [D loss: 0.699758, acc.: 54.69%] [G loss: 0.822219]\n",
            "4913 [D loss: 0.697793, acc.: 51.56%] [G loss: 0.826205]\n",
            "4914 [D loss: 0.623902, acc.: 65.62%] [G loss: 0.944888]\n",
            "4915 [D loss: 0.644242, acc.: 67.19%] [G loss: 0.858020]\n",
            "4916 [D loss: 0.695322, acc.: 57.81%] [G loss: 0.859780]\n",
            "4917 [D loss: 0.611657, acc.: 68.75%] [G loss: 0.909994]\n",
            "4918 [D loss: 0.639478, acc.: 67.19%] [G loss: 0.945356]\n",
            "4919 [D loss: 0.615955, acc.: 71.88%] [G loss: 0.951948]\n",
            "4920 [D loss: 0.700272, acc.: 57.81%] [G loss: 0.964450]\n",
            "4921 [D loss: 0.693427, acc.: 57.81%] [G loss: 0.898636]\n",
            "4922 [D loss: 0.596662, acc.: 68.75%] [G loss: 1.011170]\n",
            "4923 [D loss: 0.687948, acc.: 53.12%] [G loss: 0.957556]\n",
            "4924 [D loss: 0.625207, acc.: 62.50%] [G loss: 0.918307]\n",
            "4925 [D loss: 0.651369, acc.: 59.38%] [G loss: 0.888647]\n",
            "4926 [D loss: 0.718909, acc.: 51.56%] [G loss: 0.871616]\n",
            "4927 [D loss: 0.629297, acc.: 70.31%] [G loss: 0.878194]\n",
            "4928 [D loss: 0.640124, acc.: 62.50%] [G loss: 0.842861]\n",
            "4929 [D loss: 0.643454, acc.: 60.94%] [G loss: 0.860983]\n",
            "4930 [D loss: 0.648869, acc.: 56.25%] [G loss: 0.886773]\n",
            "4931 [D loss: 0.651448, acc.: 57.81%] [G loss: 0.934997]\n",
            "4932 [D loss: 0.630567, acc.: 67.19%] [G loss: 0.810438]\n",
            "4933 [D loss: 0.657177, acc.: 64.06%] [G loss: 0.892483]\n",
            "4934 [D loss: 0.663971, acc.: 59.38%] [G loss: 0.951245]\n",
            "4935 [D loss: 0.703252, acc.: 57.81%] [G loss: 0.973142]\n",
            "4936 [D loss: 0.653923, acc.: 56.25%] [G loss: 0.925633]\n",
            "4937 [D loss: 0.675324, acc.: 59.38%] [G loss: 0.935344]\n",
            "4938 [D loss: 0.616968, acc.: 60.94%] [G loss: 0.891597]\n",
            "4939 [D loss: 0.664563, acc.: 62.50%] [G loss: 0.844294]\n",
            "4940 [D loss: 0.633989, acc.: 68.75%] [G loss: 0.899544]\n",
            "4941 [D loss: 0.622171, acc.: 65.62%] [G loss: 0.841128]\n",
            "4942 [D loss: 0.578305, acc.: 68.75%] [G loss: 0.801967]\n",
            "4943 [D loss: 0.613523, acc.: 65.62%] [G loss: 0.917429]\n",
            "4944 [D loss: 0.673871, acc.: 54.69%] [G loss: 0.912927]\n",
            "4945 [D loss: 0.675441, acc.: 57.81%] [G loss: 0.857348]\n",
            "4946 [D loss: 0.623540, acc.: 68.75%] [G loss: 0.885371]\n",
            "4947 [D loss: 0.650605, acc.: 64.06%] [G loss: 0.918513]\n",
            "4948 [D loss: 0.588583, acc.: 68.75%] [G loss: 0.850532]\n",
            "4949 [D loss: 0.664920, acc.: 59.38%] [G loss: 0.878318]\n",
            "4950 [D loss: 0.635457, acc.: 62.50%] [G loss: 0.882531]\n",
            "4951 [D loss: 0.694793, acc.: 50.00%] [G loss: 0.868518]\n",
            "4952 [D loss: 0.655741, acc.: 62.50%] [G loss: 1.029238]\n",
            "4953 [D loss: 0.626964, acc.: 65.62%] [G loss: 0.890044]\n",
            "4954 [D loss: 0.640105, acc.: 65.62%] [G loss: 0.855998]\n",
            "4955 [D loss: 0.661723, acc.: 62.50%] [G loss: 0.871956]\n",
            "4956 [D loss: 0.646830, acc.: 71.88%] [G loss: 0.917961]\n",
            "4957 [D loss: 0.674982, acc.: 57.81%] [G loss: 0.857514]\n",
            "4958 [D loss: 0.700693, acc.: 57.81%] [G loss: 0.883676]\n",
            "4959 [D loss: 0.662318, acc.: 59.38%] [G loss: 0.963552]\n",
            "4960 [D loss: 0.603398, acc.: 70.31%] [G loss: 0.936633]\n",
            "4961 [D loss: 0.655468, acc.: 53.12%] [G loss: 0.910854]\n",
            "4962 [D loss: 0.652816, acc.: 60.94%] [G loss: 0.936671]\n",
            "4963 [D loss: 0.601591, acc.: 70.31%] [G loss: 0.892804]\n",
            "4964 [D loss: 0.644342, acc.: 59.38%] [G loss: 0.847870]\n",
            "4965 [D loss: 0.632315, acc.: 64.06%] [G loss: 0.790693]\n",
            "4966 [D loss: 0.653466, acc.: 59.38%] [G loss: 0.964976]\n",
            "4967 [D loss: 0.693229, acc.: 60.94%] [G loss: 0.880800]\n",
            "4968 [D loss: 0.639423, acc.: 64.06%] [G loss: 0.935767]\n",
            "4969 [D loss: 0.680708, acc.: 59.38%] [G loss: 0.879973]\n",
            "4970 [D loss: 0.627653, acc.: 64.06%] [G loss: 0.946911]\n",
            "4971 [D loss: 0.637227, acc.: 67.19%] [G loss: 0.901856]\n",
            "4972 [D loss: 0.649498, acc.: 56.25%] [G loss: 0.974128]\n",
            "4973 [D loss: 0.660737, acc.: 57.81%] [G loss: 1.029243]\n",
            "4974 [D loss: 0.677485, acc.: 53.12%] [G loss: 0.918726]\n",
            "4975 [D loss: 0.619578, acc.: 60.94%] [G loss: 0.919013]\n",
            "4976 [D loss: 0.657578, acc.: 56.25%] [G loss: 0.876616]\n",
            "4977 [D loss: 0.646475, acc.: 64.06%] [G loss: 0.915573]\n",
            "4978 [D loss: 0.641056, acc.: 62.50%] [G loss: 0.890252]\n",
            "4979 [D loss: 0.658017, acc.: 57.81%] [G loss: 0.856786]\n",
            "4980 [D loss: 0.597544, acc.: 65.62%] [G loss: 0.908173]\n",
            "4981 [D loss: 0.671054, acc.: 59.38%] [G loss: 0.862194]\n",
            "4982 [D loss: 0.624357, acc.: 65.62%] [G loss: 0.965411]\n",
            "4983 [D loss: 0.607767, acc.: 68.75%] [G loss: 0.901571]\n",
            "4984 [D loss: 0.624516, acc.: 73.44%] [G loss: 0.874011]\n",
            "4985 [D loss: 0.661161, acc.: 59.38%] [G loss: 1.010033]\n",
            "4986 [D loss: 0.669230, acc.: 60.94%] [G loss: 0.983321]\n",
            "4987 [D loss: 0.609113, acc.: 62.50%] [G loss: 0.894130]\n",
            "4988 [D loss: 0.593315, acc.: 70.31%] [G loss: 0.877211]\n",
            "4989 [D loss: 0.614886, acc.: 67.19%] [G loss: 0.911606]\n",
            "4990 [D loss: 0.653004, acc.: 59.38%] [G loss: 0.927463]\n",
            "4991 [D loss: 0.688198, acc.: 51.56%] [G loss: 0.804317]\n",
            "4992 [D loss: 0.729462, acc.: 43.75%] [G loss: 0.835729]\n",
            "4993 [D loss: 0.668701, acc.: 57.81%] [G loss: 0.802324]\n",
            "4994 [D loss: 0.628118, acc.: 67.19%] [G loss: 0.905801]\n",
            "4995 [D loss: 0.636685, acc.: 64.06%] [G loss: 0.902968]\n",
            "4996 [D loss: 0.691921, acc.: 56.25%] [G loss: 0.844714]\n",
            "4997 [D loss: 0.651627, acc.: 60.94%] [G loss: 0.864307]\n",
            "4998 [D loss: 0.635808, acc.: 62.50%] [G loss: 0.925925]\n",
            "4999 [D loss: 0.677115, acc.: 56.25%] [G loss: 0.797975]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m_gcEz-kw0QZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "outputId": "1f317584-5158-4059-e9e1-324f229cbb46"
      },
      "source": [
        "gan.sample_images(epoch=2)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAATsAAAD7CAYAAAAVQzPHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJMH/ACz1ln/bB/t7AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}