Glossary: Deep Learning Basics
Regularization
Anything that helps a model generalize to new data, usually by stopping it fitting training noise, such as dropout, weight decay, early stopping, a smaller network or data augmentation.
Glossary: Deep Learning Basics
Anything that helps a model generalize to new data, usually by stopping it fitting training noise, such as dropout, weight decay, early stopping, a smaller network or data augmentation.