revert last change..

README.md

@@ -9,19 +9,16 @@ See some [examples](examples) to learn about the framework:
 ### Vision:
 + [DoReFa-Net: train binary / low-bitwidth CNN on ImageNet](examples/DoReFa-Net)
 + [Train ResNet on ImageNet / Cifar10 / SVHN](examples/ResNet)
-+ [InceptionV3 on ImageNet](examples/Inception/inceptionv3.py)
++ [Generative Adversarial Network(GAN) variants](examples/GAN), including DCGAN, InfoGAN, Conditional GAN, WGAN, BEGAN, DiscoGAN, Image to Image.
 + [Fully-convolutional Network for Holistically-Nested Edge Detection(HED)](examples/HED)
 + [Spatial Transformer Networks on MNIST addition](examples/SpatialTransformer)
 + [Visualize Saliency Maps by Guided ReLU](examples/Saliency)
++ [Similarity Learning on MNIST](examples/SimilarityLearning)
 
 ### Reinforcement Learning:
 + [Deep Q-Network(DQN) variants on Atari games](examples/DeepQNetwork), including DQN, DoubleDQN, DuelingDQN.
 + [Asynchronous Advantage Actor-Critic(A3C) with demos on OpenAI Gym](examples/A3C-Gym)
 
-### Unsupervised Learning:
-+ [Generative Adversarial Network(GAN) variants](examples/GAN), including DCGAN, InfoGAN, Conditional GAN, WGAN, BEGAN, DiscoGAN, Image to Image.
-+ [Similarity Learning on MNIST](examples/SimilarityLearning)
-
 ### Speech / NLP:
 + [LSTM-CTC for speech recognition](examples/CTC-TIMIT)
 + [char-rnn for fun](examples/Char-RNN)

examples/README.md

@@ -8,11 +8,13 @@ Training examples with __reproducible__ and meaningful performance.
 + [A tiny SVHN ConvNet with 97.8% accuracy](svhn-digit-convnet.py)
 + [DoReFa-Net: training binary / low-bitwidth CNN on ImageNet](DoReFa-Net)
 + [Train ResNet for ImageNet/Cifar10/SVHN](ResNet)
++ [Generative Adversarial Network(GAN) variants](GAN), including DCGAN, InfoGAN, Conditional GAN, WGAN, BEGAN, DiscoGAN, Image to Image.
 + [Inception-BN with 71% accuracy](Inception/inception-bn.py)
 + [InceptionV3 with 74% accuracy (similar to the official code)](Inception/inceptionv3.py)
 + [Fully-convolutional Network for Holistically-Nested Edge Detection(HED)](HED)
 + [Spatial Transformer Networks on MNIST addition](SpatialTransformer)
 + [Visualize Saliency Maps by Guided ReLU](Saliency)
++ [Similarity Learning on MNIST](SimilarityLearning)
 + Load a pre-trained [AlexNet](load-alexnet.py) or [VGG16](load-vgg16.py) model.
 + Load a pre-trained [Convolutional Pose Machines](ConvolutionalPoseMachines/).
 
@@ -20,10 +22,6 @@ Training examples with __reproducible__ and meaningful performance.
 + [Deep Q-Network(DQN) variants on Atari games](DeepQNetwork), including DQN, DoubleDQN, DuelingDQN.
 + [Asynchronous Advantage Actor-Critic(A3C) with demos on OpenAI Gym](A3C-Gym)
 
-## Unsupervised Learning:
-+ [Generative Adversarial Network(GAN) variants](GAN), including DCGAN, InfoGAN, Conditional GAN, WGAN, BEGAN, DiscoGAN, Image to Image.
-+ [Similarity Learning on MNIST](SimilarityLearning)
-
 ## Speech / NLP:
 + [LSTM-CTC for speech recognition](CTC-TIMIT)
 + [char-rnn for fun](Char-RNN)