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Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution functions as it's scanning the input $I$ with regard to its dimensions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called characteristic map or activation map.Index funds seek out to replicate th