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Copy file name to clipboardExpand all lines: README.md
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- Word Embedding - Word2vec. Train a word embedding matrix, see [tutorial\_word2vec_basic.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial\_word2vec_basic.py).
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- Restore Embedding matrix. Restore a pre-train embedding matrix, see [tutorial\_generate_text.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_generate_text.py).
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- Text Generation. Generates new text scripts, using LSTM network, see [tutorial\_generate_text.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_generate_text.py).
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- Chinese Text Anti-Spam by [pakrchen](https://github.com/pakrchen/text-antispam).
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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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============
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- Multi-layer perceptron (MNIST). A multi-layer perceptron implementation for MNIST classification task, see `tutorial_mnist_simple.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mnist_simple.py>`_.
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- Multi-layer perceptron (MNIST) classification using Iterator, see `method1 <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mlp_dropout1.py>`_ and `method2 <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mlp_dropout2.py>`_.
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Computer Vision
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==================
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- Word Embedding - Word2vec. Train a word embedding matrix, see `tutorial_word2vec_basic.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial\_word2vec_basic.py>`_.
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- Restore Embedding matrix. Restore a pre-train embedding matrix, see `tutorial_generate_text.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_generate_text.py>`_.
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- Text Generation. Generates new text scripts, using LSTM network, see `tutorial_generate_text.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_generate_text.py>`_.
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- Chinese Text Anti-Spam by `pakrchen <https://github.com/pakrchen/text-antispam>`_.
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