Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution operations as it can be scanning the enter $I$ with regard to its dimensions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called feature map or activation map. A VGG-block https://financefeeds.com/ripple-xrp-and-cardano-ada-dominated-q4-2024-but-this-copyright-will-turn-450-into-9000-in-q1-2025/