when we train a network to do this kind of future frame prediction so all we're training we're training the network with back prop but the loss is coming entirely from how well does it reconstruct a future frame that it hasn't seen before and the interesting interesting thing that we find is if we kind of just take that internal representation and just sort of pipe it off and just ask how well can we decode things about other things like the identity of the face what we find is if we do a simple you know 50 Way face