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Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it's scanning the input $I$ with respect to its Proportions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map.While in the convolution layer, we transfer th