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DCGAN is initialized with random weights, so a random code plugged in the network would produce a completely random graphic. Nonetheless, while you may think, the network has numerous parameters that we can tweak, plus the aim is to locate a environment of such parameters that makes samples produced from random codes appear to be the instruction de