Convolution layer (CONV) The convolution layer (CONV) uses filters that perform convolution functions as it is scanning the enter $I$ with respect to its Proportions. Its hyperparameters include the filter size $F$ and stride $S$. The resulting output $O$ is called aspect map or activation map. A convolutional neural https://financefeeds.com/kaspas-integration-sparks-change-in-plus-wallet-bitget-brings-real-world-utility-and-phantom-faces-investor-fury/