Batch Normalization and Dropout || Part - 1
Channel: Boring Codes
Date: 05/02/2020

Dropout is mostly a technique for regularization. It introduces noise into a neural network to force the neural network to learn to generalize well enough to deal with noise. (This is a big oversimplification, and dropout is really about a lot more than just robustness to noise)

Batch normalization is mostly a technique for improving optimization.

As a side effect, batch normalization happens to introduce some noise into the network, so it can regularize the model a little bit.

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