DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Even so, as you might imagine, the network has millions of parameters that we will tweak, and the aim is to locate a setting of those parameters which makes samples created from random codes seem like the teaching data.Elevate