Question: In what way does batch normalization facilitate the training of deep neural networks? By ensuring all layers learn at similar speeds By compressing input data

In what way does batch normalization facilitate the training of deep neural networks?
By ensuring all layers learn at similar speeds
By compressing input data to a manageable size
By normalizing the input layer activations to speed up learning and improve stability
By reducing the need for dropout layers
In what way does batch normalization facilitate the training of deep

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