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L2 Regularization

Deep LearningAI Term

Definition

A regularization technique that adds the sum of the squares of the model's weight coefficients as a penalty term to the loss function, preventing excessively large weight values.

In short: A regularization technique that adds the sum of the squares of the model's weight coefficients as a penalty term to the loss function, preventing excessively large weight values.

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