CNN

[Review] CNN Summary

Preface

In this article, I would like to summarise and get together the components to understand CNN.

Research Paper Summary

Since I have read two research papers, I will brief both of them in my another articles.
1. Gradient-Based Learning Applied to Document Recognition: https://qiita.com/Rowing0914/items/445095163bc6a58c59b5
Authors: Yann LeCun, Leon Bottou, Yoshua Bengio and Patrick Haffer
2. Recent Advances in Convolutional Neural Networks
https://qiita.com/Rowing0914/items/4627b4a15b22ae53760b
Authors: Jiuxiang Gua,∗ , Zhenhua Wangb,∗ , Jason Kuenb , Lianyang Mab , Amir Shahroudyb , Bing Shuaib , Ting Liub , Xingxing Wangb , Li Wangb , Gang Wangb , Jianfei Caic , Tsuhan Chenc

Implementation of CNN in python with Numpy

https://qiita.com/Rowing0914/items/2060af90b97c6739883e

Math in CNN

https://qiita.com/Rowing0914/items/e815ca24427874030526

What "Convolution" means mathematically?

https://qiita.com/Rowing0914/items/bef94b187772ff585413

Nice Summary of Algorithms in CNN

http://blog.yusugomori.com/post/129688163130/%E6%95%B0%E5%BC%8F%E3%81%A7%E6%9B%B8%E3%81%8D%E4%B8%8B%E3%81%99-convolutional-neural-networks-cnn
https://medium.com/@2017csm1006/forward-and-backpropagation-in-convolutional-neural-network-4dfa96d7b37e
http://www.jefkine.com/general/2016/09/05/backpropagation-in-convolutional-neural-networks/