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Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it's scanning the enter $I$ with respect to its Proportions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called attribute map or activation map.O'Leary is actually a admirer of the New England