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It is a standard data processing procedure. I think it is used not only in deep neural nets. Imagine a simple case where you just classify two points in 2D space, if you don't do such normalization, they will just lie in the positive domain, which limits the learning space of the decision boundary and incorporates unnecessary bias.
A quite simple question, why normalize pixels with (img - 127.5)/128?
I didn't find any useful information. Can anyone help me? Thanks.
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