Cross Entropy loss, serving as a loss function, is heavily used in deep learning models. This is derived from information theory. To explain the cross entropy, let true probability distribution be p computed model probability be q Then cross entropy loss or error is given by H(p,q) as: Cross entropy measures how is predicted probability…

## What is cross entropy loss in deep learning?

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