Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is scanning the input $I$ with respect to its Proportions. Its hyperparameters consist of the filter size $File$ and stride $S$. The ensuing output $O$ is called element map or activation map. https://financefeeds.com/tradevest-secures-bafin-licenses-for-copyright-custody-and-registration/