Understanding LSTM Networks
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
An overview of gradient descent optimization algorithms
http://sebastianruder.com/optimizing-gradient-descent/
The Unreasonable Effectiveness of Recurrent Neural Networks
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
Recurrent Neural Networks Tutorial
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/
http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/
http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/
Recurrent Neural Network (RNN)
https://theneuralperspective.com/2016/10/04/05-recurrent-neural-networks-rnn-part-1-basic-rnn-char-rnn/
https://theneuralperspective.com/2016/10/06/recurrent-neural-networks-rnn-part-2-text-classification/
https://theneuralperspective.com/2016/11/20/recurrent-neural-networks-rnn-part-3-encoder-decoder/
https://theneuralperspective.com/2016/11/20/recurrent-neural-network-rnn-part-4-attentional-interfaces/
https://theneuralperspective.com/2016/11/17/recurrent-neural-network-rnn-part-4-custom-cells/
http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/
http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
https://github.com/dmnelson/sentiment-analysis-imdb
https://github.com/asampat3090/sentiment-dl
https://github.com/wenjiesha/sentiment_lstm
http://blog.youkuaiyun.com/zouxy09/article/details/8775518/
https://apaszke.github.io/lstm-explained.html
https://github.com/cjhutto/vaderSentiment
http://deeplearning.net/software/theano/install_windows.html
TensorFlow入门(五)多层 LSTM 通俗易懂版
https://blog.youkuaiyun.com/Jerr__y/article/details/61195257