Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it's scanning the input $I$ with respect to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. Implicaciones pedagógicas https://financefeeds.com/best-altcoins-to-invest-in-january-2025-top-7-picks-for-explosive-growth-this-year/