Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it is scanning the enter $I$ with regard to its dimensions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called attribute map or activation map. BlackRock https://financefeeds.com/pepeto-offers-utility-and-fun-creating-an-engaged-community-next-10x-meme-coin/