Neural Network

article:
https://towardsdatascience.com/coding-neural-network-forward-propagation-and-backpropagtion-ccf8cf369f76

code:
https://nbviewer.jupyter.org/github/ImadDabbura/blog-posts/blob/master/notebooks/Coding-Neural-Network-Forwad-Back-Propagation.ipynb

矩陣乘法https://msdn.microsoft.com/zh-tw/library/hh873134.aspx

install h5py
conda install -c anaconda h5py
Derivative:
https://medium.com/@14prakash/back-propagation-is-very-simple-who-made-it-complicated-97b794c97e5c
https://towardsdatascience.com/nothing-but-numpy-understanding-creating-binary-classification-neural-networks-with-e746423c8d5c

weight initialization

https://zhuanlan.zhihu.com/p/25110150?fbclid=IwAR3UwII-kC5p4a4s1CKA8mu3aosNsXfeddlG4kcAHCPPcwjtu7iSc2a8zsw

gradient descent

https://medium.com/@chih.sheng.huang821/%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92-%E5%9F%BA%E7%A4%8E%E6%95%B8%E5%AD%B8-%E4%BA%8C-%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95-gradient-descent-406e1fd001f?fbclid=IwAR2IPMl0ZjQmxQTwnZQNy5DbgGh_3ldT1WPNuHGVtmQZRGQbDYch-nW17EA

A CONVERGENCE ANALYSIS OF GRADIENT DESCENT FOR DEEP LINEAR NEURAL NETWORKS

http://bangqu.com/12p1J8.html