Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it is scanning the enter $I$ with respect to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. It is amazing, https://financefeeds.com/eurex-volumes-up-by-9-in-2024-led-by-interest-rate-and-equity-derivatives/