Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it really is scanning the input $I$ with respect to its Proportions. Its hyperparameters include the filter size $File$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. Bogle’s concept https://financefeeds.com/the-3-best-coins-to-invest-in-january-2025-that-could-transform-your-portfolio/