Early Stopping

Stopping training when validation loss stops improving, instead of training for a fixed number of epochs. Prevents overfitting without requiring a penalty term. Requires a separate validation set. Use with a "patience" parameter (e.g., stop if val loss does not improve for 10 consecutive epochs).

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