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DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random image. Even so, as you might imagine, the network has millions of parameters that we could tweak, and the goal is to find a placing of such parameters that makes samples produced from random codes appear to be the coaching facts.We’ll