Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution functions as it can be scanning the input $I$ with respect to its Proportions. Its hyperparameters consist of the filter size $File$ and stride $S$. The resulting output $O$ is called aspect map or activation https://financefeeds.com/gold-technical-analysis-report-27-january-2025/