Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it is actually scanning the enter $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or activation map.The LeNet architecture