Earlier quoted context omitted.
Deep learning is not a simple statistical clustering algorithm. Trial and error is a main way that people learn and it works.
> Deep learning is not a simple statistical clustering algorithm. What is it, then? In the 60s people used backpropagation to train neural networks. NN + BP is a very simple statistical clustering algorithm. I know that when I worked on neural networks in the 90s we still used backpropagation. Are they using something different now?
Yes, why else do you think we've had such breakthroughs in the past six years?