In business, much to the data scientist’s pleasure, so much of optimization is in finding an even narrower local maximum or minimum. That’s a key reason why deep learning systems are of such ...

With the advent of massively parallel computing coprocessors, numerical optimization for deep-learning disciplines is now possible. Complex real-time pattern recognition, for example, that can be used ...

The new approach to diagramming deep-learning algorithms used by this paper could be a very significant step," says Jeremy Howard, founder and CEO of Answers.ai, who was not associated with this work.