Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it's scanning the enter $I$ with respect to its dimensions. Its hyperparameters consist of the filter size $File$ and stride $S$. The resulting output $O$ is called feature map or activation map. Laptop Eyesight: In https://financefeeds.com/ripple-price-could-reach-5-next-month-if-this-happens-will-donald-trump-buy-xrp-what-will-this-mean-for-remittix/