Regularization
ML
Techniques used to prevent overfitting by adding constraints to the learning process. Common methods include L1/L2 regularization, dropout, and early stopping, which penalize model complexity to improve generalization.
ML
Techniques used to prevent overfitting by adding constraints to the learning process. Common methods include L1/L2 regularization, dropout, and early stopping, which penalize model complexity to improve generalization.