Overview
On this article, I'll write about regularization.
Regularization is important method to prevent from overfitting and used in many algorithms. If I try to write accurately in good manner, it will be so long article. So here, I don’t stick to mathematical accuracy so much and in rough way I’ll try to show the system.
As a different approach to overfitting, Dropout is also nice. About this, please check the article below.