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DCGAN is initialized with random weights, so a random code plugged in to the network would deliver a totally random image. Even so, as you may think, the network has countless parameters that we can tweak, and the aim is to find a placing of such parameters that makes samples produced from random codes seem like the instruction knowledge.Prompt: A