Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it can be scanning the input $I$ with regard to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called attribute map or activation map. https://financefeeds.com/cboe-rebrands-exchange-technology-platform-to-cboe-ti/