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 ...

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning. This course is not currently offered. Prerequisites A thorough understanding of Linear Algebra and Vector Calculus, ...

Microsoft has released DeepSpeed, a new deep learning optimization library for PyTorch, that is designed to reduce memory use and train models with better parallelism on existing hardware.