Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution functions as it truly is scanning the enter $I$ with respect to its dimensions. Its hyperparameters contain the filter size $File$ and stride $S$. The resulting output $O$ is called aspect map or activation map. https://financefeeds.com/blockdag-rolls-out-new-referral-system-with-immediate-usdt-rewards-while-tron-pursues-1-11-cardano-whale-activity-peaks/