Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it's scanning the enter $I$ with regard to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. * The https://financefeeds.com/this-copyright-could-outperform-top-meme-coins-shiba-inu-and-dogecoins-famous-2021-gains-in-2025/