Deep learning books and resources
https://github.com/tensorflow/models/
https://github.com/migueldeicaza/TensorFlowSharp
https://github.com/tengge1/learn-tensorflow-sharp
https://github.com/tensorflow/docs/tree/master/site/en/tutorials/keras
https://jeffbradberry.com/posts/2015/09/intro-to-monte-carlo-tree-search/
https://www.cnblogs.com/steven-yang/p/5993205.html
http://harinisuresh.com/2016/10/09/lstms/
https://zhuanlan.zhihu.com/p/30707897
https://zhuanlan.zhihu.com/p/25345778
https://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0
https://tromp.github.io/go/legal.html
http://www.depthfirstlearning.com/2018/AlphaGoZero
https://cs.stanford.edu/people/karpathy/convnetjs/
https://zhuanlan.zhihu.com/p/24590838
https://github.com/tensorflow/nmt
https://github.com/zhongkaifu/Seq2SeqSharp
https://en.wikipedia.org/wiki/Comparison_of_deep_learning_software