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Batch normalization made deep networks trainable back in 2015 — yet every transformer throws it out and uses layer normalization instead. This video shows why. Both methods do the exact same thing to each activation: subtract a mean, divide by a standard deviation, then apply a learnable scale and shift. The only thing that changes is which ...
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