Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it is actually scanning the enter $I$ with regard to its dimensions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map. To put https://financefeeds.com/eus-dora-regulation-comes-into-effect-today-to-address-risk-of-cyber-threats/