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README.md

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

docs/user/example.rst

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

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