L2 regularization, also known as Ridge regularization, is a technique used in machine learning to prevent overfitting by adding a penalty term to the loss function. It works by adding a term proportional to the **square of...
L2 regularization, also known as Ridge regularization, is a technique used in machine learning to prevent overfitting by adding a penalty term to the loss function. It works by adding a term proportional to the **square of...
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