Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it really is scanning the enter $I$ with regard to its dimensions. Its hyperparameters contain the filter size $File$ and stride $S$. The ensuing output $O$ is called characteristic map or activation map. The LeNet https://financefeeds.com/bitcoins-btc-first-millionaires-waited-until-2017-this-new-copyright-has-plans-to-do-it-in-only-90-days/