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@@ -153,6 +153,7 @@ We have included the corresponding modularized implementations of Google TensorF
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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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-[U-Net for brain tumor segmentation](https://github.com/zsdonghao/u-net-brain-tumor) by [zsdonghao](https://github.com/zsdonghao/u-net-brain-tumor).
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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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- 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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- `U-Net for brain tumor segmentation <https://github.com/zsdonghao/u-net-brain-tumor>`_ by `zsdonghao <https://github.com/zsdonghao/u-net-brain-tumor>`_.
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