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Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it's scanning the enter $I$ with respect to its dimensions. Its hyperparameters incorporate the filter size $F$ and stride $S$. The ensuing output $O$ is called feature map or activation map.Every layer while in the neural network plays a novel