Convolution Layer (CONV) The convolution layer (CONV) works by using filters that perform convolution operations as it is actually scanning the input $I$ with respect to its Proportions. Its hyperparameters consist of the filter size $F$ and stride $S$. The ensuing output $O$ is called feature map or activation https://financefeeds.com/5-best-copyright-presales-to-invest-in-for-2025/
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