/DL_31_Batch_Normalization

How Batch Normalization transforms the internal workings of neural networks by normalizing inputs within each mini-batch. By maintaining stable activations throughout the training process, Batch Normalization improves convergence speed and aids in tackling the vanishing/exploding gradient problem.

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

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