> In contrast, running the neural network takes 5μs (twenty thousand times faster) with only a small loss in accuracy. This “approximate function inversion via gradients” trick is a very general one that can not only be used with dynamical systems, but also lies behind the fast style transfer algorithm.
Very interesting! Follow up question -- how would you choose the network architecture?
Very interesting! Follow up question -- how would you choose the network architecture?