CNN(卷积神经网络)、RNN(循环神经网络)、DNN，LSTM

CNN(卷积神经网络)、RNN(循环神经网络)、DNN

https://www.zhihu.com/question/34681168

度强化学习（Deep Reinforcement Learning）入门：RL base & DQN-DDPG-A3C introduction

https://zhuanlan.zhihu.com/p/25239682

http://colah.github.io/posts/2015-08-Understanding-LSTMs/

https://zhuanlan.zhihu.com/p/22888385

https://www.zhihu.com/question/22553761

https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=402032673&idx=1&sn=d7e636b6d033cbcf8a74dfaf710e9ccf#rd

http://wiki.jikexueyuan.com/project/deep-learning/recognition-digit.html

https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner%27s-Guide-To-Understanding-Convolutional-Neural-Networks/

http://cs231n.github.io/convolutional-networks/

https://github.com/rasbt/python-machine-learning-book/tree/master/faq

*

http://www.jianshu.com/p/c30f7c944b66

为什么神经网络牛逼？

https://www.zhihu.com/question/41667903/answer/130691120

https://ujjwalkarn.me/2016/08/09/quick-intro-neural-networks/

http://home.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html

https://github.com/rasbt/python-machine-learning-book/tree/master/faq

https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471

http://cs231n.github.io/convolutional-networks/

http://www.jianshu.com/p/1afda7000d8e

http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/

http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/

http://deeplearning.net/tutorial/lenet.html

http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/

http://blog.163.com/lipse_huang/blog/static/19165754520133954138888/

https://en.wikipedia.org/wiki/Convolutional_neural_network

http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/

https://www.analyticsvidhya.com/blog/2017/06/architecture-of-convolutional-neural-networks-simplified-demystified/

https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/

http://cs231n.github.io/convolutional-networks/

http://cs231n.github.io/classification/

http://cs231n.github.io/linear-classify/

https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner%27s-Guide-To-Understanding-Convolutional-Neural-Networks/

http://ufldl.stanford.edu/tutorial/supervised/MultiLayerNeuralNetworks/

https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721

https://medium.com/@ageitgey/machine-learning-is-fun-part-2-a26a10b68df3