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DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random graphic. Nevertheless, while you may think, the network has numerous parameters that we could tweak, and the aim is to locate a location of these parameters that makes samples produced from random codes look like the instruction facts.Ex