Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it really is scanning the enter $I$ with regard to its dimensions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called feature map or activation map. https://financefeeds.com/miax/