RNN学习资源和笔记

[译] 理解 LSTM 网络
http://www.jianshu.com/p/9dc9f41f0b29
原文
http://colah.github.io/posts/2015-08-Understanding-LSTMs/

零基础入门深度学习(6) - 长短时记忆网络(LSTM)
https://www.zybuluo.com/hanbingtao/note/581764

一文弄懂神经网络中的反向传播法——BackPropagation
http://www.cnblogs.com/charlotte77/p/5629865.html

RNN以及LSTM的介绍和公式梳理
http://blog.csdn.net/Dark_Scope/article/details/47056361

深度学习BP算法的推导（附加RNN,LSTM的推导说明）
http://blog.csdn.net/zhuanshenweiliu/article/details/42267993

http://blog.csdn.net/nxcxl88/article/details/52590500

http://blog.csdn.net/heyongluoyao8/article/details/48636251

http://blog.csdn.net/malefactor/article/details/50436735

http://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=400189223&idx=1&sn=1cb32bee42de626443ebadbf065ec79c&scene=0&uin=MjMyOTMzNjI4Mg%3D%3D&key=04dce534b3b035ef754b3db704576ef725fe12130f3873727792d24ba9737f87e767699f2dac64b32a1a2ac150a93108&devicetype=iMac+MacBookAir6%2C2+OSX+OSX+10.9.5+build(13F34)&version=11020012&lang=zh_CN&pass_ticket=KD5GDyX0gpigvicpo1HIAnNsWnTvEAFi%2FQoYyI73rzCJoPTkB8q47lJ2MLlFY6aS

递归神经网络的不可思议的有效性
http://www.cnblogs.com/yaoyaoliu/p/5860525.html
语音识别的基础知识与CMUsphinx介绍
http://blog.csdn.net/zouxy09/article/details/7941585

https://yjango.gitbooks.io/superorganism/content/shen_ceng_wang_luo.html
循环神经网络——实现
https://yjango.gitbooks.io/superorganism/content/lstmgru.html

代码

人人都能用Python写出LSTM-RNN的代码！[你的神经网络学习最佳起步] 无框架
http://blog.csdn.net/zzukun/article/details/49968129
http://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/

Minimal character-level language model with a Vanilla Recurrent Neural Network
https://gist.github.com/karpathy/d4dee566867f8291f086

https://apaszke.github.io/lstm-explained.html
RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
https://github.com/lipiji/rnn-theano

RNN Classifier 循环神经网络
https://morvanzhou.github.io/tutorials/machine-learning/keras/2-4-RNN-classifier/
RNN Regressor 循环神经网络 序列预测
https://morvanzhou.github.io/tutorials/machine-learning/keras/2-5-RNN-LSTM-Regressor/

基于Theano的深度学习(Deep Learning)框架Keras学习随笔-02-Example
http://blog.csdn.net/niuwei22007/article/details/49053771

对比学习用 Keras 搭建 CNN RNN 等常用神经网络
http://www.jianshu.com/p/9efae7a20493

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LSTM梳理，理解，和keras实现 （一）
https://www.zhihu.com/question/29411132

LSTM神经网络输入输出究竟是怎样的？
https://www.zhihu.com/question/41949741?sort=created

有哪些LSTM(Long Short Term Memory)和RNN(Recurrent)网络的教程？
https://www.zhihu.com/question/29411132

曲线特征识别方法研究
http://www.docin.com/p-761195694.html

How to Participate to NTCIR-13 Task(s)
http://research.nii.ac.jp/ntcir/ntcir-13/howto.html

Implementing a Neural Network from Scratch in Python – An Introduction
http://www.wildml.com/2015/09/implementing-a-neural-network-from-scratch/

待译

CS231n Convolutional Neural Networks for Visual Recognition
http://cs231n.github.io/optimization-2/

http://cs231n.github.io/neural-networks-case-study/#grad

Deep Learning, NLP, and Representations
http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/

Attention and Augmented Recurrent Neural Networks
http://distill.pub/2016/augmented-rnns/