Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it can be scanning the enter $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called aspect map or activation map.A VGG-block experienced lots of 3x