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AI & Machine Learning · Intermediate

Early Stopping

Halting training when validation performance stops improving to prevent overfitting.

Definition

Early stopping monitors a validation metric each epoch and stops after a set number of epochs without improvement (patience), typically restoring the best weights. It is a simple, effective regularizer that also saves compute.

Exam tip

Validation loss rising while training loss falls is the trigger for early stopping.

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