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DCGAN is initialized with random weights, so a random code plugged in the network would make a totally random image. Nonetheless, as you might imagine, the network has many parameters that we will tweak, and also the purpose is to find a setting of those parameters which makes samples generated from random codes seem like the training facts.We repr