Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it is actually scanning the input $I$ with regard to its Proportions. Its hyperparameters include the filter size $File$ and stride $S$. The resulting output $O$ is called feature map or activation map. Knowing the https://financefeeds.com/digital-currency-group-settles-sec-allegations-for-38-million/