Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
the same hand-designed data augmentation schemes or else it might happen that algorithm A outperforms algorithm B, just because it was trained on a dataset which had more / better data augmentation. 5. Noise Robustness Noise with infinitesimal variance imposes a penalty on the norm of the weights.