Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is actually scanning the enter $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called aspect map or https://financefeeds.com/best-copyright-to-buy-now-tokens-with-100x-potential/