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DCGAN is initialized with random weights, so a random code plugged to the network would make a very random graphic. However, as you might imagine, the network has countless parameters that we are able to tweak, as well as the purpose is to locate a placing of those parameters that makes samples produced from random codes seem like the instruction d
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