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

https://github.com/aymericdamien/TensorFlow-Examples

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_cn

cnn 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