Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution functions as it is scanning the enter $I$ with respect to its Proportions. Its hyperparameters include the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. Vanguard’s https://financefeeds.com/blockdags-affiliate-program-offers-unlimited-usdt-cashback-while-ada-price-solana-dex-volume-surge/