Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it is actually scanning the input $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. https://financefeeds.com/mitrade-introduces-million-dollar-insurance-to-bolster-trader-confidence-in-australia/