NoProp: Training neural networks without back-propagation or forward-propagation

"Years of works of the genetic algorithms community came to the conclusion that if you can compute a gradient then you should use it in a way or another.

If you go for toy experiments you can brute force the optimization. Is it efficient, hell no."

Are you just a bot stealing reddit comments? (https://www.reddit.com/r/MachineLearning/comments/1jsft3c/r_...)