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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random impression. Nonetheless, when you might imagine, the network has many parameters that we will tweak, and the aim is to locate a placing of such parameters that makes samples created from random codes look like the teaching information.Pe

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