DCGAN is initialized with random weights, so a random code plugged in to the network would deliver a completely random impression. Nevertheless, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the aim is to locate a environment of such parameters that makes samples created from random codes look like the
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