Release 1.2.8

Recommended Update !

This is an incomplete list among the many features added.

• Update
  • Speed up model saving and loading by @sczhengyabin
  • Fix ｀ConcatLayer` bug found by @tobymu and @michuanhaohao
  • Fix BatchNormLayer compatibility to TF12 by @boscotsang
  • Update tutorial_tfrecord3.py by @Yugnaynehc
  • Hard Dice coefficient by @zsdonghao
  • Cosine similarity by @zsdonghao
  • The keep_prob of DropoutLayer can be fixed by @zsdonghao, then instead of changing the keep_prob in placeholder (see tutorial_mnist.py), we can also build inferences for training and testing as follow:

def inference(x, is_train)
    network = ...
    if is_train=True:
        network = DropoutLayer(network, keep=0.8, is_fix=True, name='drop1')
    ....

• Maintain English documentation by @zsdonghao
• Maintain Chinese documentation by @zsdonghao

This version works well under TF 0.10 and 0.11 backend, it also works well with TF 0.12 in most of the case, feel free to report if you found a bug. Many thanks!