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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 enter $I$ with respect to its dimensions. Its hyperparameters include things like the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map.O'Leary is usually a enthusiast