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DCGAN is initialized with random weights, so a random code plugged into your network would produce a very random graphic. Even so, while you may think, the network has many parameters that we are able to tweak, along with the aim is to find a placing of such parameters that makes samples produced from random codes appear to be the instruction facts

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