Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it can be scanning the enter $I$ with respect to its dimensions. Its hyperparameters consist of the filter size $F$ and stride $S$. The ensuing output $O$ is called element map or activation https://financefeeds.com/drivewealth-expands-fixed-income-asset-class-via-moment/