RNN相关内容

1.RNN入门级理解：Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/ 【英文博文】

1.1.中文翻译及增加版：
https://blog.csdn.net/heyongluoyao8/article/details/48636251

2.RNN实战实现：Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/ 【英文博文】

3.BPTT理解：Recurrent Neural Networks Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients
http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/ 【英文博文】

4.LSTM等实现：Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano
http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/ 【英文博文】

5.使用tensorflow实现RNN：RNNs in Tensorflow, a Practical Guide and Undocumented Features
http://www.wildml.com/2016/08/rnns-in-tensorflow-a-practical-guide-and-undocumented-features/ 【英文博文】

LSTM相关内容

1.LSTM理解博文：Understanding LSTM Networks
http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 【英文博文】

这里讲的很好，大家有能力建议阅读原文，多次阅读体会

1.1.中文翻译版本：
https://www.jianshu.com/p/9dc9f41f0b29

这个翻译版本，翻译的也很好，值得反复读一下。

（别人转载的上一个链接，备用）
https://www.cnblogs.com/wangduo/p/6773601.html?utm_source=itdadao&utm_medium=referral