Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it truly is scanning the enter $I$ with regard to its Proportions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. https://financefeeds.com/tether-backed-oobit-to-expand-copyright-payments-with-adgm-license/