When Should You Use L1/L2 Regularization

Опубликовано: 01 Ноябрь 2022
на канале: Mısra Turp

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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 look into L1 and L2 regularization. We will learn how these regularization techniques work and when to use them.

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