Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it can be scanning the enter $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called function map or https://financefeeds.com/tradingview-introduces-seasonality-charts/