and Boltzmann machines but it's an advantage that they have over fully visible belief networks they're also asymptotically consistent if you're able to find the equilibrium point of the game defining a general a generative adverse trail network you're guaranteed that you've actually recovered the true distribution that generates the data modulo sample complexity issues so if you have infinite training data you do eventually recover the correct distribution there are no Markov chains needed neither to train the generative