Convolution layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution operations as it truly is scanning the enter $I$ with regard to its Proportions. Its hyperparameters incorporate the filter size $File$ and stride $S$. The ensuing output $O$ is called aspect map or activation map. As outlined https://financefeeds.com/ethereum-technical-analysis-report-14-january-2025/