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Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it really is scanning the input $I$ with regard to its dimensions. Its hyperparameters consist of the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map.It has become the most essential ap