NEW STEP BY STEP MAP FOR ARTIFICIAL INTELLIGENCE DEVELOPER

DCGAN is initialized with random weights, so a random code plugged to the network would crank out a totally random graphic. Even so, as you might imagine, the network has millions of parameters that we could tweak, and also the target is to find a environment of such parameters that makes samples produced from random codes appear like the training