Deep Learning, Optimization, Gradient Descent, Momentum, Learning Parameters.
(red). NAG is certainly making smaller oscillations/taking shorter U-turns even when approaching the minima valleys on the error surface. Looking ahead helps NAG in correcting its course quicker than momentum-based gradient descent. Hence the oscillations are smaller and the chances of escaping the