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DCGAN is initialized with random weights, so a random code plugged into the network would create a very random graphic. Having said that, as you might imagine, the network has a lot of parameters that we can tweak, as well as the goal is to find a placing of those parameters which makes samples produced from random codes appear like the schooling d

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