程序猿 tensorflow 入门开发及人工智能实战
tensorflow 中文文档：
http://www.tensorfly.cn
http://wiki.jikexueyuan.com/project/tensorflow-zh/tensorflow 实用例子
神经网络及深度学习了解
入门了解 http://neuralnetworksanddeeplearning.com
BP推导 http://neuralnetworksanddeeplearning.com/chap2.html
中文资料 http://wiki.jikexueyuan.com/project/neural-networks-and-deep-learning-zh-cn/
https://www.gitbook.com/read/book/hit-scir/neural-networks-and-deep-learning-zh_cncnn 了解
结构 https://www.zybuluo.com/hanxiaoyang/note/442868
推导 https://grzegorzgwardys.wordpress.com/2016/04/22/8/
实现 http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/
例子 http://yerevann.github.io/2015/10/11/spoken-language-identification-with-deep-convolutional-networks/rnn_lstm 了解
结构及推导 http://r2rt.com/written-memories-understanding-deriving-and-extending-the-lstm.html
rnn 推导 http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/
实现1 http://r2rt.com/recurrent-neural-networks-in-tensorflow-i.html
实现2 http://r2rt.com/recurrent-neural-networks-in-tensorflow-ii.html
lstm 推导 http://arunmallya.github.io/writeups/nn/lstm/index.html#/重要博客阅读推荐
YerevaNN 系列： https://github.com/YerevaNN
> http://yerevann.com/a-guide-to-deep-learning/
> https://github.com/YerevaNN/Deep-Learning-Papers-Reading-Roadmap
> https://github.com/YerevaNN/Spoken-language-identification
> http://yerevann.github.io/2015/10/11/spoken-language-identification-with-deep-convolutional-networks/
> http://yerevann.github.io/2016/06/26/combining-cnn-and-rnn-for-spoken-language-identification/
寒小阳博客系列 http://blog.csdn.net/han_xiaoyang/article/details/50542880
> 如何知道一份深度学习的工作 http://blog.csdn.net/han_xiaoyang/article/details/52777661
