Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it is scanning the enter $I$ with regard to its dimensions. Its hyperparameters include the filter size $File$ and stride $S$. The ensuing output $O$ is called attribute map or activation map. A https://financefeeds.com/torrams-pre-seed-closure-paves-the-way-for-institutional-grade-defi-on-bitcoin/