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Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it truly is scanning the enter $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map.Implicaciones pedagógi