rnn学习资料整理

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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

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