Project Adam: Building an Efficient and Scalable Deep Learning Training System

The design and implementation of a distributed system called Adam comprised of commodity server machines to train large deep neural network models that exhibits world-class performance, scaling and task accuracy on visual recognition tasks and shows that task accuracy improves with larger models.