Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it's scanning the enter $I$ with regard to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The ensuing output $O$ is called function map or activation map. Zero-padding—It allows https://financefeeds.com/solana-technical-analysis-report-20-january-2025/