Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it is actually scanning the enter $I$ with regard to its dimensions. Its hyperparameters contain the filter size $File$ and stride $S$. The resulting output $O$ is called aspect map or activation map. https://financefeeds.com/bitcoin-solana-or-panshibi-why-shibi-is-set-for-500x-gains-this-year-as-latest-meme-coin-takes-1-twitter-trending-spot/