Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it's scanning the enter $I$ with respect to its dimensions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The resulting output $O$ is called function map or activation map. Implicaciones pedagógicas a partir https://financefeeds.com/how-these-6-best-coins-to-buy-for-2025-could-offer-significant-returns-for-early-adopters/