Machine Learning & Training

What Is L1 Regularization?

L1 regularization adds a penalty to the loss function equal to the sum of the absolute values of the model's weights. This encourages many weights to become exactly zero, effectively performing feature selection. It is also known as Lasso regularization in linear models.