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.

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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
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