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DCGAN is initialized with random weights, so a random code plugged to the network would crank out a very random image. Nevertheless, when you might imagine, the network has millions of parameters that we can tweak, and the goal is to find a environment of these parameters which makes samples produced from random codes look like the schooling inform

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