from the generator network and you train it to say that those are fake as the two players compete in this game the discriminator tries to become better at recognizing where their images are real or fake and the generator becomes better at fooling the discriminator into thinking that its outputs are are real and you can analyze this through the language of game theory and find that there's a Nash equilibrium where the generator has captured the correct probability distribution so in the cat example it makes perfectly realistic cat