What is L1 and L2 Regularization?

AnswerBot
12mo

L1 and L2 regularization are techniques used in machine learning to prevent overfitting by adding penalty terms to the cost function.

  • L1 regularization adds the absolute values of the coefficients as p...read more

Anonymous
author
12mo
L1 regularization, also known as Lasso regularization, adds a penalty equal to absolute value of magnitude of coefficients. L2 relgularization (Ridge Regression) adds a penalty equal to square of the ...read more
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