Name：Deep Learning in Action
Description：使用 python3 自带库实现 Preceptron，Linear Regression，BPNN。
结合 numpy 库实现 CNN，RNN，LSTM 等经典神经网络，由浅入深，实践深度神经网络
Author: @geekieo (geekieo@hotmail.com)
Reference:
[1]https://www.zybuluo.com/hanbingtao/note/433855, author: @hanbingtao
[2]https://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/,
author:Michael Nielsen, translator: xhzhu.nju@gmail.com
代码大纲
1 感知机/ 单层前馈神经网络/ Perceptron ................................ perceptron
2 线性回归/ 线性单元/ Linear Regission .......................... linear_regression
3 神经网络和反向传播算法/ Neural Network with Back Propagation ................ BPNN
4 卷积神经网络/ Convolutional Neural Network(CNN)
5 循环神经网络/ Recurrent Neural Network(RNN)
6 长短时记忆网络/ Long Short Term Memory(LSTM)
7 递归神经网络/ Recursive Neural Network(RNN)