These small startups are saying that it doesn’t make sense to always use that sort of sledgehammer approach of deep learning. By taking a very narrow approach, they’re able to train on a much smaller data set, be up and running much more quickly and, frankly, be much more accurate.

“—Alan Pelz-Sharpe, founder, Deep Analysis