Let us establish some notations, that will make the rest of the content, easy to follow. We assume that the activations at any layer would be of the dimensions NxCxHxW (and, of course, in the real number space), where, N = Batch Size, C = Number of Channels (filters) in that layer, H = Height of each activation map, W = Width of each activation map.
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Generally, normalization of activations require shifting and scaling the activations by mean and standard deviation respectively. Batch Normalization, Instance Normalization and Layer Normalization differ in the manner these statistics are calculated.
Credit: BecomingHuman By: Mayank Agarwal
