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TensorLayer is a deep learning and reinforcement learning library based on [TensorFlow](https://www.tensorflow.org). It provides rich data processing, model training and serving modules to help both **researchers** and **engineers** build practical machine learning workflows.
*[Sep 17] New example [Chatbot in 200 lines of code](https://github.com/zsdonghao/seq2seq-chatbot) for [Seq2Seq](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#simple-seq2seq).
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*[Sep 17] Release [ROI layer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#roi-layer) for Object Detection.
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*[Aug 17] Release [Sub-pixel Convolution 1D](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#d-supixel-convolutional) for Audio Super-resolution.
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*[Aug 17] Release [Flickr dataset loader](http://press.liacs.nl/mirflickr/mirdownload.html), see [load_flickr25k](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr25k) and [load_flickr1M](http://tensorlayer.readthedocs.io/en/latest/modules/files.html#flickr1m).
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*[Jun 17] Release [SpatialTransformer2dAffineLayer](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#spatial-transformer) for [Spatial Transformer Networks](https://github.com/zsdonghao/Spatial-Transformer-Nets) see [example code](https://github.com/zsdonghao/Spatial-Transformer-Nets).
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*[Jun 17] Release [Sub-pixel Convolution 2D](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution see [SRGAN code](https://github.com/zsdonghao/SRGAN).
*[May 17] You can now use TensorLayer with [TFSlim](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#connect-tf-slim) and [Keras](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#connect-keras) together!
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