Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it is actually scanning the enter $I$ with respect to its dimensions. Its hyperparameters consist of the filter size $F$ and stride $S$. The resulting output $O$ is called function map or activation https://financefeeds.com/trading-technologies-now-ranks-brokers-by-liquidity-and-execution-quality/