Convolution Layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it truly is scanning the enter $I$ with respect to its dimensions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map. After promoting https://financefeeds.com/tickmill-review/