ML//neural network//regularization

- Preventing overfitting — techniques that keep the model from memorizing.

Preventing overfitting — techniques that keep the model from memorizing.

Dropout, weight decay (L2), data augmentation, batch normalization.

The art of making the model slightly worse on training data to be better on everything else.