Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it is scanning the enter $I$ with respect to its Proportions. Its hyperparameters consist of the filter size $File$ and stride $S$. The resulting output $O$ is called feature map or activation map.> Token Burns: Standard burning events reduc