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DCGAN is initialized with random weights, so a random code plugged to the network would produce a completely random graphic. On the other hand, while you might imagine, the network has millions of parameters that we can easily tweak, plus the aim is to find a placing of those parameters that makes samples generated from random codes appear to be th