Your link supports my point, not yours. I'm aware of research showing that local minima are close to the global minima. That does not mean neural nets usually converge to the global minima, only that, the local minima they converge to is close to the global minimum.

> Finally, we prove that recovering the global minimum becomes harder as the network size increases