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DCGAN is initialized with random weights, so a random code plugged into your network would create a very random image. Even so, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the goal is to find a placing of such parameters that makes samples produced from random codes appear to be the training knowledge

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