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DCGAN is initialized with random weights, so a random code plugged in to the network would make a very random image. Even so, when you might imagine, the network has numerous parameters that we could tweak, and the aim is to locate a location of such parameters that makes samples generated from random codes appear like the teaching data.Sora builds