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Convolution layer (CONV) The convolution layer (CONV) takes advantage of filters that perform convolution operations as it's scanning the input $I$ with respect to its Proportions. Its hyperparameters include things like the filter size $File$ and stride $S$. The ensuing output $O$ is called aspect map or activation map.Williams. RNNs have laid the