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DCGAN is initialized with random weights, so a random code plugged to the network would make a totally random picture. Nonetheless, when you might imagine, the network has numerous parameters that we can tweak, and the purpose is to find a setting of such parameters that makes samples created from random codes seem like the coaching data.Firm leade