Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it truly is scanning the enter $I$ with regard to its dimensions. Its hyperparameters involve the filter size $F$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. A VGG-block https://financefeeds.com/price-prediction-in-january-pepe-avalanche-and-remittix-what-is-this-viral-craze-about/