Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it's scanning the input $I$ with regard to its Proportions. Its hyperparameters involve the filter size $File$ and stride $S$. The ensuing output $O$ is called element map or activation map. I feel https://financefeeds.com/a-r-t-digital-secures-exclusive-agreement-with-forced-physics-to-transform-bitcoin-mining-cooling-technology/