Comment on batch normalization?
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Answer / Nadeem Khan
Batch Normalization is a technique used during training in deep neural networks to stabilize the learning process, reduce internal covariate shift and improve the speed of convergence. It standardizes the activations of each layer by normalizing the inputs and outputs to have zero mean and unit variance across the batch.
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