update example list

README.md

@@ -138,7 +138,6 @@ We have included the corresponding modularized implementations of Google TensorF
 [Help Wanted Issues](https://waffle.io/zsdonghao/tensorlayer),
 [QQ group](https://github.com/zsdonghao/tensorlayer/blob/master/img/img_qq.png) and [Wechat group]([email protected]).
 
-
 ## Basics
  - Multi-layer perceptron (MNIST). A multi-layer perceptron implementation for MNIST classification task, see ``tutorial_mnist_simple.py``.
 
@@ -152,6 +151,7 @@ We have included the corresponding modularized implementations of Google TensorF
  - InceptionV3 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see ``tutorial_inceptionV3_tfslim.py``.
  - Wide ResNet (CIFAR) by [ritchieng](https://github.com/ritchieng/wideresnet-tensorlayer).
  - More CNN implementations of [TF-Slim](https://github.com/tensorflow/models/tree/master/slim#pre-trained-models) can be connected to TensorLayer via SlimNetsLayer.
+ - [Spatial Transformer Networks](https://arxiv.org/abs/1506.02025) by [zsdonghao](https://github.com/zsdonghao/Spatial-Transformer-Nets)
 
 ## Natural Language Processing
  - Recurrent Neural Network (LSTM). Apply multiple LSTM to PTB dataset for language modeling, see ``tutorial_ptb_lstm_state_is_tuple.py``.
@@ -160,16 +160,18 @@ We have included the corresponding modularized implementations of Google TensorF
  - Text Generation. Generates new text scripts, using LSTM network, see ``tutorial_generate_text.py``.
  - Machine Translation (WMT). Translate English to French. Apply Attention mechanism and Seq2seq to WMT English-to-French translation data, see ``tutorial_translate.py``.
 
+## Adversarial Learning
+- DCGAN - Generating images by [Deep Convolutional Generative Adversarial Networks](http://arxiv.org/abs/1511.06434) by [zsdonghao](https://github.com/zsdonghao/dcgan).
+- [Generative Adversarial Text to Image Synthesis](https://github.com/zsdonghao/text-to-image) by [zsdonghao](https://github.com/zsdonghao/text-to-image).
+- [Unsupervised Image to Image Translation with Generative Adversarial Networks](https://github.com/zsdonghao/Unsup-Im2Im) by [zsdonghao](https://github.com/zsdonghao/Unsup-Im2Im).
+
 ## Reinforcement Learning
  - Deep Reinforcement Learning - Pong Game. Teach a machine to play Pong games, see ``tutorial_atari_pong.py``.
  - Asynchronous Deep Reinforcement Learning - Pong Game by [nebulaV](https://github.com/akaraspt/tl_paper)
 
 
 ## Applications
 - Image Captioning - Reimplementation of Google's [im2txt](https://github.com/tensorflow/models/tree/master/im2txt) by [zsdonghao](https://github.com/zsdonghao/Image-Captioning).
-- DCGAN - Generating images by [Deep Convolutional Generative Adversarial Networks](http://arxiv.org/abs/1511.06434) by [zsdonghao](https://github.com/zsdonghao/dcgan).
-- [Generative Adversarial Text to Image Synthesis](https://github.com/zsdonghao/text-to-image) by [zsdonghao](https://github.com/zsdonghao/text-to-image).
-- [Unsupervised Image to Image Translation with Generative Adversarial Networks](https://github.com/zsdonghao/Unsup-Im2Im) by [zsdonghao](https://github.com/zsdonghao/Unsup-Im2Im).
 - A simple web service - [TensorFlask](https://github.com/JoelKronander/TensorFlask) by [JoelKronander](https://github.com/JoelKronander)
 
 ## Special Examples

docs/user/example.rst

@@ -22,6 +22,7 @@ Computer Vision
  - InceptionV3 (ImageNet). A Convolutional neural network implementation for classifying ImageNet dataset, see ``tutorial_inceptionV3_tfslim.py`` on `GitHub`_.
  - Wide ResNet (CIFAR) by `ritchieng <https://github.com/ritchieng/wideresnet-tensorlayer>`_.
  - More CNN implementations of `TF-Slim <https://github.com/tensorflow/models/tree/master/slim#pre-trained-models>`_ can be connected to TensorLayer via SlimNetsLayer.
+ - `Spatial Transformer Networks <https://arxiv.org/abs/1506.02025>`_ by `zsdonghao <https://github.com/zsdonghao/Spatial-Transformer-Nets>`_.
 
 Natural Language Processing
 ==============================
@@ -32,6 +33,12 @@ Natural Language Processing
  - Text Generation. Generates new text scripts, using LSTM network, see ``tutorial_generate_text.py`` on `GitHub`_.
  - Machine Translation (WMT). Translate English to French. Apply Attention mechanism and Seq2seq to WMT English-to-French translation data, see ``tutorial_translate.py`` on `GitHub`_.
 
+Adversarial Learning
+========================
+ - DCGAN - Generating images by `Deep Convolutional Generative Adversarial Networks <http://arxiv.org/abs/1511.06434>`_ by `zsdonghao <https://github.com/zsdonghao/dcgan>`_.
+ - `Generative Adversarial Text to Image Synthesis <https://github.com/zsdonghao/text-to-image>`_ by `zsdonghao <https://github.com/zsdonghao/text-to-image>`_.
+ - `Unsupervised Image to Image Translation with Generative Adversarial Networks <https://github.com/zsdonghao/Unsup-Im2Im>`_ by `zsdonghao <https://github.com/zsdonghao/Unsup-Im2Im>`_.
+
 Reinforcement Learning
 ==============================
 
@@ -42,9 +49,6 @@ Applications
 ==============
 
 - Image Captioning - Reimplementation of Google's `im2txt <https://github.com/tensorflow/models/tree/master/im2txt>`_ by `zsdonghao <https://github.com/zsdonghao/Image-Captioning>`_.
-- DCGAN - Generating images by `Deep Convolutional Generative Adversarial Networks <http://arxiv.org/abs/1511.06434>`_ by `zsdonghao <https://github.com/zsdonghao/dcgan>`_.
-- `Generative Adversarial Text to Image Synthesis <https://github.com/zsdonghao/text-to-image>`_ by `zsdonghao <https://github.com/zsdonghao/text-to-image>`_.
-- `Unsupervised Image to Image Translation with Generative Adversarial Networks <https://github.com/zsdonghao/Unsup-Im2Im>`_ by `zsdonghao <https://github.com/zsdonghao/Unsup-Im2Im>`_.
 - A simple web service - `TensorFlask <https://github.com/JoelKronander/TensorFlask>`_ by `JoelKronander <https://github.com/JoelKronander>`_.
 
 Special Examples