Simple perceptrons, yes. Feed forward, RNNs, CNNs, SVMs, gradient methods, and the rest? Not so sure about that. I know that genetic algorithms do sometimes get discussed today, but they are a small part of the community discussion, IMO. Not to mention that research in non-linear optimization and attendant numerical methods definitely made some breakthroughs in the 1990s.