L1 and L2 Regularization

machine learning Feb 04, 2023

Regularization is a machine learning technique that introduces a regularization term to the loss function of a model in order to improve the generalization of a model. In this video, I explain both L1 and L2 regularizations, the main differences between the two methods, and leave you with helpful pros and cons so you can best decide when to implement each function.

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