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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Batch normalization

Batch normalization rescales the input and all intermediate layer output of the network, making the training smoother and faster. The rescaling is done to achieve a 0 mean and a standard deviation of 1 for all of the input and output. This helps the neural network to train faster and leads to some regularization.

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