Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution functions as it is scanning the enter $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $F$ and stride $S$. The resulting output $O$ is called feature map or activation map. Each https://financefeeds.com/eursud-technical-analysis-report-7-january-2025/