Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. https://financefeeds.com/reppo-labs-secures-2-2m-in-funding-to-revolutionize-collaboration-between-data-owners-and-ai-agents/