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DCGAN is initialized with random weights, so a random code plugged in the network would generate a totally random image. On the other hand, as you might imagine, the network has a lot of parameters that we are able to tweak, plus the goal is to find a environment of those parameters which makes samples generated from random codes appear like the tr

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