Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Batch normalization (BN): to normalize a layer's output by also summing over the entire batch, and then performing a linear rescaling and shifting of a certain trainable amount.
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Education › Papers > Convolutional Neural Networks: “Batch normalization (BN): to normalize a layer's output by also summing over the entire batch, and then performing a linear rescaling and shifting of a certain trainable amount.”