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What is activation distribution shift during training?
Updated May 17, 2026
Short answer
Activation distribution shift refers to changes in layer output statistics during training.
Deep explanation
As weights update, activation distributions shift, which can destabilize training. Normalization layers like BatchNorm and LayerNorm mitigate this by stabilizing mean and variance across layers.
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