update readme

Author: zsdonghao

README.md

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 TensorLayer is a deep learning and reinforcement learning library based on [Google TensorFlow](https://www.tensorflow.org). It provides rich data pre-processing,  training, post-processing and serving modules that help researchers and engineers in building complex machine learning workflows.  
 
 # What's New
-* Support [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)
+* 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).
 * Join [Slack](https://join.slack.com/tensorlayer/shared_invite/MTk1MjM0NDk5MDg5LTE0OTcwOTQyNTEtODFjY2QzYjdmZQ) Now.
 * [Attention Seq2seq](https://github.com/zsdonghao/tensorlayer/issues/164) help wanted.
-* Support [Sub-pixel Convolution](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution.
+* Release [Sub-pixel Convolution](http://tensorlayer.readthedocs.io/en/latest/modules/layers.html#super-resolution-layer) for Super-resolution.
 * You can now use TensorLayer with [TF-Slim](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!
 
 # Design Philosophy