How do you mitigate overfitting in neural networks?
Reviewed by Jason Burns, Editorial Steward · Last updated
Mitigate overfitting with more and better training data, regularization (weight decay, dropout, label smoothing), data augmentation, early stopping based on a validation set, and simpler models when the signal doesn't justify complexity.