Question: How does batch normalization help in training deep neural networks? By reducing the size of the input data By adjusting the learning rate dynamically By

How does batch normalization help in training deep neural networks?
By reducing the size of the input data
By adjusting the learning rate dynamically
By normalizing the inputs of each layer to have mean zero and variance one
By randomly shuffling the training data before each epoch
How does batch normalization help in training

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