Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it really is scanning the enter $I$ with regard to its Proportions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. > Token https://financefeeds.com/top-cryptos-to-buy-now-for-massive-gains-will-they-lead-the-charge-in-next-bull-run/