Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it can be scanning the input $I$ with respect to its Proportions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. It is https://financefeeds.com/to-catalyze-ai-infrastructure-open-launches-webisopen-point-system/