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  1. Hyperparameter tuning
  2. Regularization

Early stopping

PreviousData augmentationNextFine-tuning

Last updated 3 years ago

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Weight increase with epochs. Similar to Lā‚‚ regularization, stop when weight (validation - train) exceed a pre-determined amount to prevent overfitting.

Downside: stop optimizing cost function (eliminate the difference between dev and test)

Alternative is Lā‚‚ regularization

Lā‚‚ regularization