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Convolution layer (CONV) The convolution layer (CONV) works by using filters that perform convolution functions as it's scanning the input $I$ with regard to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The resulting output $O$ is called function map or activation map.Autoencoders -Equipment Learni