Debugging ML Models: Difference between revisions
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==Overfitting== | ==Overfitting== | ||
Overfitting occurs when your training | Overfitting occurs when your model begins learning attributes specific to your training data, causing your validation loss to increase. | ||
Historically this was a big concern for ML models and people relied heavily on regularization to address overfitting. | Historically this was a big concern for ML models and people relied heavily on regularization to address overfitting. | ||
Recently though, overfitting has become less of a concern with larger ML models. | Recently though, overfitting has become less of a concern with larger ML models. | ||