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Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it truly is scanning the input $I$ with respect to its dimensions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map.O'Leary is a admirer of The