Update README

README.md

@@ -5,8 +5,7 @@ This repository contains code for the following Keras models:
 - VGG16
 - VGG19
 - ResNet50
-
-We plan on adding Inception v3 soon.
+- Inception v3
 
 All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at `~/.keras/keras.json`. For instance, if you have set `image_dim_ordering=tf`, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth".
 
@@ -78,6 +77,7 @@ block4_pool_features = model.predict(x)
 
 - [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/abs/1409.1556) - please cite this paper if you use the VGG models in your work.
 - [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) - please cite this paper if you use the ResNet model in your work.
+- [Rethinking the Inception Architecture for Computer Vision](http://arxiv.org/abs/1512.00567) - please cite this paper if you use the Inception v3 model in your work.
 
 Additionally, don't forget to [cite Keras](https://keras.io/getting-started/faq/#how-should-i-cite-keras) if you use these models.
 
@@ -86,4 +86,5 @@ Additionally, don't forget to [cite Keras](https://keras.io/getting-started/faq/
 
 - All code in this repository is under the MIT license as specified by the LICENSE file.
 - The ResNet50 weights are ported from the ones [released by Kaiming He](https://github.com/KaimingHe/deep-residual-networks) under the [MIT license](https://github.com/KaimingHe/deep-residual-networks/blob/master/LICENSE).
-- The VGG16 and VGG19 weights are ported from the ones [released by VGG at Oxford](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) under the [Creative Commons Attribution License](https://creativecommons.org/licenses/by/4.0/).
+- The VGG16 and VGG19 weights are ported from the ones [released by VGG at Oxford](http://www.robots.ox.ac.uk/~vgg/research/very_deep/) under the [Creative Commons Attribution License](https://creativecommons.org/licenses/by/4.0/).
+- The Inception v3 weights are trained by ourselves and are released under the MIT license.