Batch Normalization Mechanism

Medium

neural-networks Google Meta NVIDIA

Multiple Choice

It addresses internal covariate shift; at inference it uses running averages of mean and variance computed during training It prevents exploding gradients; at inference the normalization is removed entirely It reduces the need for dropout; at inference it applies double normalization for stability It ensures all weights remain small; at inference it freezes the learned scale and shift to zero

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