Convolution Layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution operations as it is actually scanning the input $I$ with regard to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. https://financefeeds.com/eurex-clearing-pioneers-dlt-supported-collateral-mobilization-with-bafins-approval/