-1 points
Because generative Neural Networks always have some random noise. Read more about it here
3 points
2 points
5 points
It almost certainly has some gan-like pieces.
Gans are part of the NN toolbox, like cnns and rnns and such.
Basically all commercial algorithms (not just nns, everything) are what I like to call “hybrid” methods, which means keep throwing different tools at it until things work well enough.
3 points
*
