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README.md

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@@ -21,7 +21,7 @@ TensorLayer is a deep learning and reinforcement learning library based on [Tens
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- **Useful links:** [Documentation](http://tensorlayer.readthedocs.io), [Examples](http://tensorlayer.readthedocs.io/en/latest/user/example.html), [Tricks](https://github.com/wagamamaz/tensorlayer-tricks), [Slack](https://join.slack.com/t/tensorlayer/shared_invite/enQtMjUyMjczMzU2Njg4LWI0MWU0MDFkOWY2YjQ4YjVhMzI5M2VlZmE4YTNhNGY1NjZhMzUwMmQ2MTc0YWRjMjQzMjdjMTg2MWQ2ZWJhYzc), [中文文档](https://tensorlayercn.readthedocs.io), [中文书](http://www.broadview.com.cn/book/5059)
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# News
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* [18 Jan] [《深度学习:一起玩转TensorLayer》](http://www.broadview.com.cn/book/5059) (Deep Learning: Play with TensorLayer)
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* [18 Jan] [《深度学习:一起玩转TensorLayer》](http://www.broadview.com.cn/book/5059) (Deep Learning using TensorLayer)
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* [17 Dec] Officially support **Distributed Training** contributed by [TensorPort](https://tensorport.com), see [tiny example](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_mnist_distributed.py).
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* [17 Nov] Release many APIs for data augmentation for object detection, see [tl.prepro](http://tensorlayer.readthedocs.io/en/latest/modules/prepro.html#object-detection).
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* [17 Nov] Support [Convolutional LSTM](https://arxiv.org/abs/1506.04214), see [ConvLSTMLayer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#conv-lstm-layer).

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