Convolution Layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution functions as it is actually scanning the input $I$ with regard to its dimensions. Its hyperparameters contain the filter size $F$ and stride $S$. The resulting output $O$ is called characteristic map or activation map. https://financefeeds.com/forcount-promoter-sentenced-to-30-months-for-role-in-8-4m-ponzi-scheme/
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