NEW STEP BY STEP MAP FOR ARTIFICIAL INTELLIGENCE DEVELOPER

DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random graphic. On the other hand, when you might imagine, the network has a lot of parameters that we can tweak, plus the aim is to locate a placing of those parameters which makes samples created from random codes look like the training inf