Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is scanning the enter $I$ with regard to its dimensions. Its hyperparameters involve the filter size $File$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. Index https://financefeeds.com/department-of-government-efficiency-price-prediction-doge-pumps-50-buy-now-or-wait-for-better-entry/