DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random impression. Nevertheless, while you may think, the network has numerous parameters that we can easily tweak, and also the purpose is to locate a setting of those parameters which makes samples created from random codes look like the educ
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