Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution functions as it is actually scanning the enter $I$ with respect to its Proportions. Its hyperparameters involve the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. Implicaciones pedagógicas https://financefeeds.com/4-altcoins-to-turn-200-into-2000-before-trumps-big-day-on-january-20/