Convolution layer (CONV) The convolution layer (CONV) employs filters that perform convolution operations as it can be scanning the enter $I$ with respect to its Proportions. Its hyperparameters include the filter size $File$ and stride $S$. The resulting output $O$ is called attribute map or activation map. I do https://financefeeds.com/exploring-qubetics-tics-ethereum-and-cardano-top-cryptos-to-invest-in-for-short-term-with-unique-features-and-real-world-impact/