My version of all three assignments of CS231n(2016 winter).
Finished on Jul. 14, 2017
Not much original; refer to many codes and notes.
Part of the references:
The course page
http://vision.stanford.edu/teaching/cs231n/index.html
A blog post explaining the backpropagation of convolutional networks
https://grzegorzgwardys.wordpress.com/2016/04/22/8/
The Momentum in SGD
http://distill.pub/2017/momentum/
The inference of Batch Normalization
https://kevinzakka.github.io/2016/09/14/batch_normalization/ http://cthorey.github.io./backpropagation/
The naive BN code, its improvement, and their inferences
http://costapt.github.io/2016/06/26/batch-norm/ http://costapt.github.io/2016/07/09/batch-norm-alt/
some of the referred codes
https://github.com/ncchen55414/Winter-2016-CS231N
(For Chinese Students)
A Chinese Translation of all the notes
https://zhuanlan.zhihu.com/p/21930884
Chinese subtitled videos
http://study.163.com/course/courseMain.htm?courseId=1003223001
A Chinese translated version of UFLDL
https://github.com/ysh329/Chinese-UFLDL-Tutorial
Why Batch Normalization works