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DCGAN is initialized with random weights, so a random code plugged into the network would deliver a very random impression. Nonetheless, when you might imagine, the network has millions of parameters that we can tweak, as well as target is to locate a placing of those parameters that makes samples created from random codes appear to be the teaching