TensorLayer 1.8.2

As this version is more stable, we highly recommend users to update to this version.

Functions

• Binary Neural Network (by @zsdonghao)

This is an experimental API package for building Binary Nets. We are using matrix multiplication rather than add-minus and bit-count operation at the moment. Therefore, these APIs would not speed up the inferencing, for production, you can train model via TensorLayer and deploy the model into other customized C/C++ implementation (We probably provide users an extra C/C++ binary net framework that can load model from TensorLayer).

Note that, these experimental APIs can be changed in the future

• Load the Street View House Numbers (SVHN) dataset in 1 line of code (by @zsdonghao)
• Load Fashion-MNIST in 1 line of code (by @AutuanLiu)
• SeparableConv2d which performs a depthwise convolution that acts separately on channels, followed by a pointwise convolution that mixes channels. While DepthwiseConv2d performs depthwise convolution only, which allow us to add batch normalization between depthwise and pointwise convolution. (by @zsdonghao)

Updates

• Use __all__ control the import of all files, see 26d7b40
• Update logging 08a1199 (by @lllcho)
• Add doc on how to build docker image (by @AutuanLiu )

Bug Fix

• Fixed bug of RNN (by @nebulaV )

Maintain documentation by @lgarithm @luomai @wagamamaz @zsdonghao