Machine Learning
Batch Normalization
BatchNorm
Machine Learning· Advanced
Definition
A technique normalizing layer inputs across a mini-batch during training, reducing internal covariate shift and enabling higher learning rates. Batch normalization dramatically speeds training, reduces sensitivity to initialization, and acts as a regularizer — now a standard component in deep learning architectures.
Tags
#normalization#training-stability#deep-learning#covariate-shift
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