Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
layer is more effective than adding noise in the input layer. For e.g. let’s assume that some unit learns to detect a nose in a face recognition task. Now, if this unit is removed, then some other unit either learns to redundantly detect a nose or associates some other feature (like mouth) for