Regularization in a Neural Network | Dealing with overfitting

We're back with another deep learning explained series videos. In this video, we will learn about regularization. Regularization is a common technique that is used to deal with overfitting. But how it works and why it helps with overfitting is sometimes hard to understand. Get your free speech-to-text API token 👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_mis_6 We go over the techniques of regularization such as L1, L2 and Dropout regularization, learn the underlying logic of regularization and understand the connection between this technique and neural networks. 00:00 Introduction 00:35 The purpose of regularization 02:54 How regularization works 05:01 L1 and L2 regularization 07:29 Dropout regularization 09:13 Early-stopping 10:03 Data augmentation 11:18 Get your Free AssemblyAI API link now!