Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it's scanning the input $I$ with regard to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. From the convolution layer, https://financefeeds.com/blockdags-affiliate-program-offers-unlimited-usdt-cashback-while-ada-price-solana-dex-volume-surge/