Convolution Layer (CONV) The convolution layer (CONV) works by using filters that perform convolution functions as it's scanning the input $I$ with regard to its Proportions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called element map or activation map. A VGG-block https://financefeeds.com/uk-fca-identifies-gaps-in-brokers-aml-systems/