DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random impression. Nonetheless, while you may think, the network has numerous parameters that we can easily tweak, as well as aim is to locate a setting of these parameters which makes samples created from random codes look like the training fa
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