Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is scanning the enter $I$ with regard to its Proportions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map. BlackRock https://financefeeds.com/hkex-appoints-new-heads-of-markets-and-strategic-projects/