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DCGAN is initialized with random weights, so a random code plugged in to the network would deliver a very random impression. Even so, when you might imagine, the network has a lot of parameters that we can tweak, and the purpose is to find a environment of such parameters that makes samples created from random codes seem like the training data.Grou