Regularization with Data Augmentation and Early Stopping

Описание: Overfitting is one of the main problems we face when building neural networks. Before jumping into trying out fixes for over or underfitting, it is important to understand what it means, why it happens and what problems it causes for our neural networks. In this video, we will learn about the data augmentation and early stopping techniques that are used to deal with overfitting. We will learn how and why data augmentation and early stopping work when dealing with overfitting.

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