GLOSSARY TERM
What is Batch Normalization?
A technique to stabilize and accelerate training by normalizing layer inputs.
Batch normalization standardizes the inputs to a layer for each mini-batch, reducing internal covariate shift. This allows for higher learning rates, less sensitivity to initialization, and acts as a mild form of regularization.
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