difference is that instead of being nel - now this G is learnt the G learns what does that mean to get closer to the goal for that particular problem and what it means is that it basically means to be indistinguishable from the real samples from this from this data domain okay so we're almost done but not quite because here is an example imagine that my G went completely crazy and started producing cats for any input image it got it produced the cat okay now is this a real immature a fake image it's a real image it's a cat it's a it's my Student