By Alex Woodie
As deep learning goes mainstream, early practitioners are finding creative new ways to harness huge collections of unstructured data. But they’re also realizing how critical it is to tune one’s model for optimal performance. As the challenge of tuning what’s essentially a black box becomes more evident, vendors like SigOpt, IBM, and others are stepping up with new solutions to help.