Overview

Description

Regularization is a technique used to add a penalty term to the loss function during training. This helps reduce model complexity and prevent overfitting.

There are several types of regularization, including:

• L1 regularization (LASSO)
• L2 regularization (Ridge)
• Elastic net regularization