rnn学习资料整理

tensorflow官网对rnn的介绍（https://www.tensorflow.org/tutorials/recurrent点击打开链接），结合tf的代码讲解rnn例子，并推荐了这篇文章（http://colah.github.io/posts/2015-08-Understanding-LSTMs/点击打开链接），介绍了通常的rnn，变形的rnn，lstm

神经网络实践入门：http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/点击打开链接

rnn较为详细的介绍，分为四部分：rnn介绍，利用python和theano应用rnn，理解BPTT算法和vanishing gradient问题，应用GRU/LSTM

http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/点击打开链接

http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-2-implementing-a-language-model-rnn-with-python-numpy-and-theano/点击打开链接

http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-part-3-backpropagation-through-time-and-vanishing-gradients/点击打开链接

http://www.wildml.com/2015/10/recurrent-neural-network-tutorial-part-4-implementing-a-grulstm-rnn-with-python-and-theano/点击打开链接