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Convolution layer (CONV) The convolution layer (CONV) makes use of filters that perform convolution operations as it is scanning the enter $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The resulting output $O$ is called attribute map or activation map.To resolve this, we connect J