Convolution Layer (CONV) The convolution layer (CONV) utilizes filters that perform convolution functions as it truly is scanning the input $I$ with respect to its Proportions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. Index funds https://financefeeds.com/best-copyright-to-buy-now-cryptocurrencies-set-to-explode-as-trump-takes-office/