fashionMNIST.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Background Research"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The Fashion MNIST clothing classification is a standard dataset used in computer vision and deep learning. It is used as the basis for learning and practicing deep learning.\n",
        "\n",
        "It is a dataset comprising of 60000 small square 28x28 pixel greyscale images of items of 10 types of clothing, such as shoes, t-shirts, dress and more.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "labels = [\n",
        "    'T-Shirt/Top',\n",
        "    'Trouser',\n",
        "    'Pullover',\n",
        "    'Dress',\n",
        "    'Coat',\n",
        "    'Sandal',\n",
        "    'Shirt',\n",
        "    'Sneaker',\n",
        "    'Bag',\n",
        "    'Ankle Boots'\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sQf2nxZNhZOW",
        "outputId": "e7c8470e-f37f-4aaa-ce92-2dfffc1194b1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2.6.0\n",
            "WARNING:tensorflow:From /var/folders/jr/017d8q8145z52wbhxmqqxxkc0000gn/T/ipykernel_82649/4273025275.py:6: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use `tf.config.list_physical_devices('GPU')` instead.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "2021-11-26 10:23:57.335635: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA\n",
            "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "print(tf.__version__)\n",
        "tf.test.is_gpu_available()\n",
        "plt.style.use('seaborn')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FXcE_ijYhZOX",
        "outputId": "9bbcc5bf-42f8-4715-a7d6-7cec24b35c7c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Train: X: (60000, 28, 28)    y: (60000,)\n",
            "Test: X: (10000, 28, 28)    y: (10000,)\n"
          ]
        }
      ],
      "source": [
        "# Import Dataset\n",
        "(trainX, trainY), (testX, testY) = tf.keras.datasets.fashion_mnist.load_data()\n",
        "print(f\"Train: X: {trainX.shape}    y: {trainY.shape}\")\n",
        "print(f\"Test: X: {testX.shape}    y: {testY.shape}\")"
      ]
    },
    {
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          "height": 268
        },
        "id": "J8lDPgFzhZOX",
        "outputId": "1c11b7a1-e5ab-443f-9d3b-e7d58ebdb649"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "execution_count": 4,
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",
            "text/plain": [
              "<Figure size 576x396 with 9 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot out first 10 images\n",
        "for i in range(9):\n",
        "    plt.subplot(330 + 1 + i)\n",
        "    plt.imshow(trainX[i], cmap=plt.get_cmap(\"gray\"))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "62hymyzvhZOY"
      },
      "outputs": [],
      "source": [
        "# Reshape images\n",
        "trainX = trainX.reshape((trainX.shape[0], 28, 28, 1))\n",
        "# trainY = tf.keras.utils.to_categorical(trainY) # One-hot encoding\n",
        "testX = testX.reshape((testX.shape[0], 28, 28, 1))\n",
        "# testY = tf.keras.utils.to_categorical(testY) # One-hot encoding"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [],
      "source": [
        "# train val split\n",
        "from sklearn.model_selection import train_test_split\n",
        "trainX, valX, trainY, valY = train_test_split(trainX, trainY, test_size=0.2)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "QHk0IWiK_iyg"
      },
      "outputs": [],
      "source": [
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "dataGen = ImageDataGenerator(\n",
        "    rotation_range=10,\n",
        "    horizontal_flip=True,\n",
        "    vertical_flip=True,\n",
        "    width_shift_range=0.1,\n",
        "    height_shift_range=0.1,\n",
        ")\n",
        "dataGen.fit(trainX)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "OSabWTgLhZOY"
      },
      "outputs": [],
      "source": [
        "\n",
        "model = tf.keras.Sequential([\n",
        "    tf.keras.layers.Rescaling(1./255 , input_shape=(28, 28, 1)),\n",
        "    tf.keras.layers.Conv2D(32, (3, 3), activation=\"relu\", kernel_initializer=\"he_uniform\"),\n",
        "    tf.keras.layers.MaxPooling2D((2, 2)),\n",
        "    tf.keras.layers.Conv2D(64, (3, 3), activation=\"relu\", kernel_initializer=\"he_uniform\", input_shape=(28, 28, 1)),\n",
        "    tf.keras.layers.MaxPooling2D((2, 2)),\n",
        "    tf.keras.layers.Flatten(),\n",
        "    tf.keras.layers.Dense(100, activation=\"relu\", kernel_initializer=\"he_uniform\"),\n",
        "    tf.keras.layers.Dense(10, activation=\"softmax\")\n",
        "])\n",
        "model.compile(\n",
        "    loss=\"sparse_categorical_crossentropy\",\n",
        "    optimizer=tf.keras.optimizers.Adam(learning_rate=0.001, beta_1=0.5),\n",
        "    metrics=['accuracy'],\n",
        ")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from keras.utils.vis_utils import plot_model\n",
        "plot_model(model, to_file='model_plot.png',\n",
        "           show_shapes=True, show_layer_names=True)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3Kjz0UYchZOY",
        "outputId": "a000b544-ce29-48cb-a2a3-a0f37a3b5df1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "rescaling (Rescaling)        (None, 28, 28, 1)         0         \n",
            "_________________________________________________________________\n",
            "conv2d (Conv2D)              (None, 26, 26, 32)        320       \n",
            "_________________________________________________________________\n",
            "max_pooling2d (MaxPooling2D) (None, 13, 13, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_1 (Conv2D)            (None, 11, 11, 64)        18496     \n",
            "_________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2 (None, 5, 5, 64)          0         \n",
            "_________________________________________________________________\n",
            "flatten (Flatten)            (None, 1600)              0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 100)               160100    \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 10)                1010      \n",
            "=================================================================\n",
            "Total params: 179,926\n",
            "Trainable params: 179,926\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "T2qbsaoHhZOY"
      },
      "outputs": [],
      "source": [
        "def plotLossAccGraph(result):\n",
        "    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))\n",
        "    ax1.plot(result.history['loss'], label='Training Loss')\n",
        "    ax1.plot(result.history['val_loss'], label='Validation Loss')\n",
        "    ax1.set_title('Training and Validation Loss')\n",
        "    ax1.set_xlabel('Epochs')\n",
        "    ax1.set_ylabel('Loss')\n",
        "    # ax1.set_ylim(bottom=0.0, top=0.6)\n",
        "    ax1.legend()\n",
        "\n",
        "    ax2.plot(result.history['accuracy'], label='Training Accuracy')\n",
        "    ax2.plot(result.history['val_accuracy'], label='Validation Accuracy')\n",
        "    ax2.set_title('Training and Validation Accuracy')\n",
        "    ax2.set_xlabel('Epochs')\n",
        "    ax2.set_ylabel('Accuracy')\n",
        "    # ax2.set_ylim(bottom=0.85, top=1.0)\n",
        "    ax2.legend()\n",
        "\n",
        "    plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "TADyYeqHhZOZ"
      },
      "outputs": [],
      "source": [
        "\n",
        "epochs = 50\n",
        "batch = 512\n",
        "\n",
        "def train(model, epochs, batch):\n",
        "    result = model.fit(dataGen.flow(trainX, trainY, batch_size=1024),validation_data=(valX, valY), epochs=epochs, batch_size=batch)\n",
        "    return result\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "djqsnslxhZOZ",
        "outputId": "500e143d-9ef1-4f0e-f5be-fe374171c8ed"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "47/47 [==============================] - 21s 427ms/step - loss: 1.1959 - accuracy: 0.5762 - val_loss: 0.8028 - val_accuracy: 0.6843\n",
            "Epoch 2/50\n",
            "47/47 [==============================] - 23s 482ms/step - loss: 0.7761 - accuracy: 0.7126 - val_loss: 0.6815 - val_accuracy: 0.7477\n",
            "Epoch 3/50\n",
            "47/47 [==============================] - 19s 412ms/step - loss: 0.6901 - accuracy: 0.7448 - val_loss: 0.6228 - val_accuracy: 0.7756\n",
            "Epoch 4/50\n",
            "47/47 [==============================] - 20s 416ms/step - loss: 0.6475 - accuracy: 0.7579 - val_loss: 0.6294 - val_accuracy: 0.7667\n",
            "Epoch 5/50\n",
            "47/47 [==============================] - 26s 548ms/step - loss: 0.6069 - accuracy: 0.7741 - val_loss: 0.5681 - val_accuracy: 0.7958\n",
            "Epoch 6/50\n",
            "47/47 [==============================] - 21s 448ms/step - loss: 0.5868 - accuracy: 0.7815 - val_loss: 0.5193 - val_accuracy: 0.8146\n",
            "Epoch 7/50\n",
            "47/47 [==============================] - 23s 488ms/step - loss: 0.5655 - accuracy: 0.7916 - val_loss: 0.5136 - val_accuracy: 0.8134\n",
            "Epoch 8/50\n",
            "47/47 [==============================] - 21s 447ms/step - loss: 0.5524 - accuracy: 0.7957 - val_loss: 0.5145 - val_accuracy: 0.8137\n",
            "Epoch 9/50\n",
            "47/47 [==============================] - 25s 534ms/step - loss: 0.5401 - accuracy: 0.7990 - val_loss: 0.4836 - val_accuracy: 0.8263\n",
            "Epoch 10/50\n",
            "47/47 [==============================] - 27s 557ms/step - loss: 0.5236 - accuracy: 0.8049 - val_loss: 0.5183 - val_accuracy: 0.8058\n",
            "Epoch 11/50\n",
            "47/47 [==============================] - 27s 559ms/step - loss: 0.5136 - accuracy: 0.8100 - val_loss: 0.4603 - val_accuracy: 0.8371\n",
            "Epoch 12/50\n",
            "47/47 [==============================] - 29s 627ms/step - loss: 0.5051 - accuracy: 0.8136 - val_loss: 0.4692 - val_accuracy: 0.8298\n",
            "Epoch 13/50\n",
            "47/47 [==============================] - 31s 651ms/step - loss: 0.4972 - accuracy: 0.8148 - val_loss: 0.4683 - val_accuracy: 0.8296\n",
            "Epoch 14/50\n",
            "47/47 [==============================] - 22s 464ms/step - loss: 0.4887 - accuracy: 0.8188 - val_loss: 0.4236 - val_accuracy: 0.8469\n",
            "Epoch 15/50\n",
            "47/47 [==============================] - 25s 528ms/step - loss: 0.4810 - accuracy: 0.8210 - val_loss: 0.4022 - val_accuracy: 0.8555\n",
            "Epoch 16/50\n",
            "47/47 [==============================] - 26s 542ms/step - loss: 0.4800 - accuracy: 0.8235 - val_loss: 0.4201 - val_accuracy: 0.8510\n",
            "Epoch 17/50\n",
            "47/47 [==============================] - 26s 554ms/step - loss: 0.4704 - accuracy: 0.8248 - val_loss: 0.4292 - val_accuracy: 0.8465\n",
            "Epoch 18/50\n",
            "47/47 [==============================] - 28s 581ms/step - loss: 0.4570 - accuracy: 0.8320 - val_loss: 0.4052 - val_accuracy: 0.8525\n",
            "Epoch 19/50\n",
            "47/47 [==============================] - 25s 520ms/step - loss: 0.4607 - accuracy: 0.8291 - val_loss: 0.4140 - val_accuracy: 0.8492\n",
            "Epoch 20/50\n",
            "47/47 [==============================] - 22s 471ms/step - loss: 0.4516 - accuracy: 0.8332 - val_loss: 0.4005 - val_accuracy: 0.8559\n",
            "Epoch 21/50\n",
            "47/47 [==============================] - 31s 656ms/step - loss: 0.4445 - accuracy: 0.8346 - val_loss: 0.3919 - val_accuracy: 0.8618\n",
            "Epoch 22/50\n",
            "47/47 [==============================] - 31s 651ms/step - loss: 0.4407 - accuracy: 0.8373 - val_loss: 0.4137 - val_accuracy: 0.8496\n",
            "Epoch 23/50\n",
            "47/47 [==============================] - 30s 627ms/step - loss: 0.4409 - accuracy: 0.8363 - val_loss: 0.3922 - val_accuracy: 0.8578\n",
            "Epoch 24/50\n",
            "47/47 [==============================] - 20s 415ms/step - loss: 0.4304 - accuracy: 0.8391 - val_loss: 0.4047 - val_accuracy: 0.8512\n",
            "Epoch 25/50\n",
            "47/47 [==============================] - 21s 436ms/step - loss: 0.4287 - accuracy: 0.8410 - val_loss: 0.4291 - val_accuracy: 0.8406\n",
            "Epoch 26/50\n",
            "47/47 [==============================] - 20s 432ms/step - loss: 0.4210 - accuracy: 0.8438 - val_loss: 0.3813 - val_accuracy: 0.8583\n",
            "Epoch 27/50\n",
            "47/47 [==============================] - 16s 342ms/step - loss: 0.4193 - accuracy: 0.8449 - val_loss: 0.3810 - val_accuracy: 0.8645\n",
            "Epoch 28/50\n",
            "47/47 [==============================] - 24s 505ms/step - loss: 0.4183 - accuracy: 0.8440 - val_loss: 0.3890 - val_accuracy: 0.8558\n",
            "Epoch 29/50\n",
            "47/47 [==============================] - 22s 457ms/step - loss: 0.4081 - accuracy: 0.8493 - val_loss: 0.3925 - val_accuracy: 0.8604\n",
            "Epoch 30/50\n",
            "47/47 [==============================] - 23s 494ms/step - loss: 0.4146 - accuracy: 0.8451 - val_loss: 0.3568 - val_accuracy: 0.8723\n",
            "Epoch 31/50\n",
            "47/47 [==============================] - 22s 472ms/step - loss: 0.4024 - accuracy: 0.8504 - val_loss: 0.3641 - val_accuracy: 0.8706\n",
            "Epoch 32/50\n",
            "47/47 [==============================] - 22s 459ms/step - loss: 0.4033 - accuracy: 0.8486 - val_loss: 0.3765 - val_accuracy: 0.8637\n",
            "Epoch 33/50\n",
            "47/47 [==============================] - 24s 501ms/step - loss: 0.4008 - accuracy: 0.8507 - val_loss: 0.3723 - val_accuracy: 0.8670\n",
            "Epoch 34/50\n",
            "47/47 [==============================] - 21s 441ms/step - loss: 0.3961 - accuracy: 0.8529 - val_loss: 0.3507 - val_accuracy: 0.8738\n",
            "Epoch 35/50\n",
            "47/47 [==============================] - 21s 451ms/step - loss: 0.3914 - accuracy: 0.8546 - val_loss: 0.3471 - val_accuracy: 0.8721\n",
            "Epoch 36/50\n",
            "47/47 [==============================] - 26s 542ms/step - loss: 0.3895 - accuracy: 0.8564 - val_loss: 0.3709 - val_accuracy: 0.8653\n",
            "Epoch 37/50\n",
            "47/47 [==============================] - 21s 446ms/step - loss: 0.3866 - accuracy: 0.8567 - val_loss: 0.3476 - val_accuracy: 0.8721\n",
            "Epoch 38/50\n",
            "47/47 [==============================] - 23s 484ms/step - loss: 0.3913 - accuracy: 0.8553 - val_loss: 0.3601 - val_accuracy: 0.8717\n",
            "Epoch 39/50\n",
            "47/47 [==============================] - 25s 530ms/step - loss: 0.3801 - accuracy: 0.8585 - val_loss: 0.3260 - val_accuracy: 0.8830\n",
            "Epoch 40/50\n",
            "47/47 [==============================] - 19s 411ms/step - loss: 0.3784 - accuracy: 0.8605 - val_loss: 0.3470 - val_accuracy: 0.8759\n",
            "Epoch 41/50\n",
            "47/47 [==============================] - 27s 574ms/step - loss: 0.3804 - accuracy: 0.8585 - val_loss: 0.3498 - val_accuracy: 0.8753\n",
            "Epoch 42/50\n",
            "47/47 [==============================] - 22s 474ms/step - loss: 0.3789 - accuracy: 0.8581 - val_loss: 0.3510 - val_accuracy: 0.8707\n",
            "Epoch 43/50\n",
            "47/47 [==============================] - 19s 404ms/step - loss: 0.3701 - accuracy: 0.8638 - val_loss: 0.3644 - val_accuracy: 0.8678\n",
            "Epoch 44/50\n",
            "47/47 [==============================] - 27s 583ms/step - loss: 0.3715 - accuracy: 0.8635 - val_loss: 0.3358 - val_accuracy: 0.8773\n",
            "Epoch 45/50\n",
            "47/47 [==============================] - 20s 416ms/step - loss: 0.3668 - accuracy: 0.8657 - val_loss: 0.3246 - val_accuracy: 0.8808\n",
            "Epoch 46/50\n",
            "47/47 [==============================] - 21s 441ms/step - loss: 0.3642 - accuracy: 0.8655 - val_loss: 0.4106 - val_accuracy: 0.8479\n",
            "Epoch 47/50\n",
            "47/47 [==============================] - 21s 437ms/step - loss: 0.3632 - accuracy: 0.8650 - val_loss: 0.3417 - val_accuracy: 0.8752\n",
            "Epoch 48/50\n",
            "47/47 [==============================] - 22s 463ms/step - loss: 0.3615 - accuracy: 0.8657 - val_loss: 0.3153 - val_accuracy: 0.8861\n",
            "Epoch 49/50\n",
            "47/47 [==============================] - 23s 487ms/step - loss: 0.3598 - accuracy: 0.8659 - val_loss: 0.3344 - val_accuracy: 0.8782\n",
            "Epoch 50/50\n",
            "47/47 [==============================] - 25s 523ms/step - loss: 0.3616 - accuracy: 0.8651 - val_loss: 0.3498 - val_accuracy: 0.8741\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "result = train(model, epochs, batch)\n",
        "plotLossAccGraph(result)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "z2oUBXoQhZOZ"
      },
      "outputs": [],
      "source": [
        "model1 = tf.keras.Sequential([\n",
        "    tf.keras.layers.Rescaling(1./255, input_shape=(28, 28, 1)),\n",
        "\n",
        "    tf.keras.layers.Conv2D(64, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.Conv2D(64, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.MaxPooling2D(2, 2),\n",
        "    tf.keras.layers.BatchNormalization(),\n",
        "\n",
        "\n",
        "    tf.keras.layers.Conv2D(128, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.Conv2D(128, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.Conv2D(128, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.MaxPooling2D(2, 2),\n",
        "    tf.keras.layers.BatchNormalization(),\n",
        "\n",
        "    tf.keras.layers.Conv2D(256, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.Conv2D(256, (3, 3), activation='relu', padding='same'),\n",
        "    tf.keras.layers.MaxPooling2D(2, 2),\n",
        "    tf.keras.layers.BatchNormalization(),\n",
        "\n",
        "    tf.keras.layers.Flatten(),\n",
        "\n",
        "    tf.keras.layers.Dense(128, activation=\"relu\"),\n",
        "    tf.keras.layers.Dense(10, activation=\"softmax\"),\n",
        "])\n",
        "model1.compile(\n",
        "    optimizer=tf.keras.optimizers.Adam(learning_rate=0.001),\n",
        "    loss=\"sparse_categorical_crossentropy\",\n",
        "    metrics=['accuracy']\n",
        ")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from keras.utils.vis_utils import plot_model\n",
        "plot_model(model1, to_file='model_plot.png',\n",
        "           show_shapes=True, show_layer_names=True)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-sAR0hzohZOa",
        "outputId": "4152a10d-e845-4048-9598-ba71fe88a4ed"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " rescaling_1 (Rescaling)     (None, 28, 28, 1)         0         \n",
            "                                                                 \n",
            " conv2d_2 (Conv2D)           (None, 28, 28, 64)        640       \n",
            "                                                                 \n",
            " conv2d_3 (Conv2D)           (None, 28, 28, 64)        36928     \n",
            "                                                                 \n",
            " max_pooling2d_2 (MaxPooling  (None, 14, 14, 64)       0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " batch_normalization (BatchN  (None, 14, 14, 64)       256       \n",
            " ormalization)                                                   \n",
            "                                                                 \n",
            " conv2d_4 (Conv2D)           (None, 14, 14, 128)       73856     \n",
            "                                                                 \n",
            " conv2d_5 (Conv2D)           (None, 14, 14, 128)       147584    \n",
            "                                                                 \n",
            " conv2d_6 (Conv2D)           (None, 14, 14, 128)       147584    \n",
            "                                                                 \n",
            " max_pooling2d_3 (MaxPooling  (None, 7, 7, 128)        0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " batch_normalization_1 (Batc  (None, 7, 7, 128)        512       \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " conv2d_7 (Conv2D)           (None, 7, 7, 256)         295168    \n",
            "                                                                 \n",
            " conv2d_8 (Conv2D)           (None, 7, 7, 256)         590080    \n",
            "                                                                 \n",
            " max_pooling2d_4 (MaxPooling  (None, 3, 3, 256)        0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " batch_normalization_2 (Batc  (None, 3, 3, 256)        1024      \n",
            " hNormalization)                                                 \n",
            "                                                                 \n",
            " flatten_1 (Flatten)         (None, 2304)              0         \n",
            "                                                                 \n",
            " dense_2 (Dense)             (None, 128)               295040    \n",
            "                                                                 \n",
            " dense_3 (Dense)             (None, 10)                1290      \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 1,589,962\n",
            "Trainable params: 1,589,066\n",
            "Non-trainable params: 896\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "model1.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n4BL_3-hhZOa",
        "outputId": "c40739b5-e980-4b12-8492-d2459e83177f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "59/59 [==============================] - 10s 131ms/step - loss: 0.6013 - accuracy: 0.7964 - val_loss: 2.6302 - val_accuracy: 0.1800\n",
            "Epoch 2/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.2795 - accuracy: 0.8962 - val_loss: 2.8167 - val_accuracy: 0.1864\n",
            "Epoch 3/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.2239 - accuracy: 0.9172 - val_loss: 3.0983 - val_accuracy: 0.2138\n",
            "Epoch 4/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.1851 - accuracy: 0.9320 - val_loss: 3.1412 - val_accuracy: 0.1921\n",
            "Epoch 5/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.1596 - accuracy: 0.9411 - val_loss: 3.1225 - val_accuracy: 0.2350\n",
            "Epoch 6/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.1310 - accuracy: 0.9514 - val_loss: 2.4834 - val_accuracy: 0.2753\n",
            "Epoch 7/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.1123 - accuracy: 0.9585 - val_loss: 1.3515 - val_accuracy: 0.5278\n",
            "Epoch 8/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0902 - accuracy: 0.9670 - val_loss: 0.7373 - val_accuracy: 0.7452\n",
            "Epoch 9/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0694 - accuracy: 0.9757 - val_loss: 0.6144 - val_accuracy: 0.7984\n",
            "Epoch 10/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0512 - accuracy: 0.9821 - val_loss: 0.3955 - val_accuracy: 0.8784\n",
            "Epoch 11/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0409 - accuracy: 0.9856 - val_loss: 0.2993 - val_accuracy: 0.9154\n",
            "Epoch 12/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0359 - accuracy: 0.9871 - val_loss: 0.4011 - val_accuracy: 0.8959\n",
            "Epoch 13/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0342 - accuracy: 0.9882 - val_loss: 0.2788 - val_accuracy: 0.9240\n",
            "Epoch 14/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0274 - accuracy: 0.9907 - val_loss: 0.2914 - val_accuracy: 0.9242\n",
            "Epoch 15/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0191 - accuracy: 0.9936 - val_loss: 0.3223 - val_accuracy: 0.9227\n",
            "Epoch 16/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0133 - accuracy: 0.9962 - val_loss: 0.3734 - val_accuracy: 0.9209\n",
            "Epoch 17/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0138 - accuracy: 0.9955 - val_loss: 0.3355 - val_accuracy: 0.9252\n",
            "Epoch 18/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0144 - accuracy: 0.9953 - val_loss: 0.4380 - val_accuracy: 0.9136\n",
            "Epoch 19/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0108 - accuracy: 0.9965 - val_loss: 0.3458 - val_accuracy: 0.9288\n",
            "Epoch 20/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0174 - accuracy: 0.9941 - val_loss: 0.3996 - val_accuracy: 0.9184\n",
            "Epoch 21/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0248 - accuracy: 0.9911 - val_loss: 0.3908 - val_accuracy: 0.9137\n",
            "Epoch 22/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0261 - accuracy: 0.9907 - val_loss: 0.3472 - val_accuracy: 0.9247\n",
            "Epoch 23/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0212 - accuracy: 0.9925 - val_loss: 0.3747 - val_accuracy: 0.9168\n",
            "Epoch 24/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0197 - accuracy: 0.9930 - val_loss: 0.3747 - val_accuracy: 0.9211\n",
            "Epoch 25/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0167 - accuracy: 0.9941 - val_loss: 0.3485 - val_accuracy: 0.9295\n",
            "Epoch 26/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0137 - accuracy: 0.9955 - val_loss: 0.3679 - val_accuracy: 0.9228\n",
            "Epoch 27/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0104 - accuracy: 0.9964 - val_loss: 0.3471 - val_accuracy: 0.9303\n",
            "Epoch 28/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0071 - accuracy: 0.9977 - val_loss: 0.3791 - val_accuracy: 0.9259\n",
            "Epoch 29/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0065 - accuracy: 0.9980 - val_loss: 0.3982 - val_accuracy: 0.9270\n",
            "Epoch 30/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0053 - accuracy: 0.9982 - val_loss: 0.4173 - val_accuracy: 0.9256\n",
            "Epoch 31/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0042 - accuracy: 0.9986 - val_loss: 0.3964 - val_accuracy: 0.9265\n",
            "Epoch 32/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0072 - accuracy: 0.9976 - val_loss: 0.4426 - val_accuracy: 0.9257\n",
            "Epoch 33/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0157 - accuracy: 0.9943 - val_loss: 0.4313 - val_accuracy: 0.9181\n",
            "Epoch 34/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0300 - accuracy: 0.9892 - val_loss: 0.4539 - val_accuracy: 0.9128\n",
            "Epoch 35/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0272 - accuracy: 0.9901 - val_loss: 0.4365 - val_accuracy: 0.9102\n",
            "Epoch 36/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0219 - accuracy: 0.9922 - val_loss: 0.4775 - val_accuracy: 0.9119\n",
            "Epoch 37/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0179 - accuracy: 0.9936 - val_loss: 0.3960 - val_accuracy: 0.9219\n",
            "Epoch 38/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0119 - accuracy: 0.9958 - val_loss: 0.3781 - val_accuracy: 0.9305\n",
            "Epoch 39/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0063 - accuracy: 0.9979 - val_loss: 0.3940 - val_accuracy: 0.9308\n",
            "Epoch 40/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 0.0026 - accuracy: 0.9993 - val_loss: 0.3976 - val_accuracy: 0.9313\n",
            "Epoch 41/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 7.5134e-04 - accuracy: 0.9999 - val_loss: 0.3979 - val_accuracy: 0.9340\n",
            "Epoch 42/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 2.0626e-04 - accuracy: 1.0000 - val_loss: 0.4019 - val_accuracy: 0.9365\n",
            "Epoch 43/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 6.9156e-05 - accuracy: 1.0000 - val_loss: 0.4041 - val_accuracy: 0.9372\n",
            "Epoch 44/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 4.3956e-05 - accuracy: 1.0000 - val_loss: 0.4099 - val_accuracy: 0.9377\n",
            "Epoch 45/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 3.6810e-05 - accuracy: 1.0000 - val_loss: 0.4137 - val_accuracy: 0.9374\n",
            "Epoch 46/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 3.1945e-05 - accuracy: 1.0000 - val_loss: 0.4167 - val_accuracy: 0.9371\n",
            "Epoch 47/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 2.8464e-05 - accuracy: 1.0000 - val_loss: 0.4192 - val_accuracy: 0.9372\n",
            "Epoch 48/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 2.5632e-05 - accuracy: 1.0000 - val_loss: 0.4209 - val_accuracy: 0.9372\n",
            "Epoch 49/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 2.3412e-05 - accuracy: 1.0000 - val_loss: 0.4230 - val_accuracy: 0.9374\n",
            "Epoch 50/50\n",
            "59/59 [==============================] - 6s 95ms/step - loss: 2.1478e-05 - accuracy: 1.0000 - val_loss: 0.4245 - val_accuracy: 0.9376\n"
          ]
        }
      ],
      "source": [
        "result1 = model1.fit(trainX, trainY, validation_data=(testX, testY), epochs=50, batch_size=1024)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 403
        },
        "id": "Wh68TJJahZOa",
        "outputId": "2d8169d1-cee1-493e-8bd2-3994bad70e7b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plotLossAccGraph(result1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "j0r_Dp_kjwIo"
      },
      "outputs": [],
      "source": [
        "model1.save(\"mnist_model.h5\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CgXhL52TE5ez"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "machine_shape": "hm",
      "name": "V1.ipynb",
      "provenance": []
    },
    "interpreter": {
      "hash": "1540c76d30b1af6ad410dda6d61bebe77544e2f3c1a272e4083818637a64b89a"
    },
    "kernelspec": {
      "display_name": "Python 3.9.0 64-bit ('tf2.6': conda)",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.0"
    },
    "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 0
}