Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it truly is scanning the enter $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The resulting output $O$ is called function map or https://financefeeds.com/shiba-inu-pepe-or-remittix-why-top-analyst-is-predicting-10x-next-month-for-this-viral-altcoin/