Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

COMP_SCI 496: Theory of Gradient-Based Optimization in ML VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS MS or CS PhDs students or consent of instructor Description. In this course, you’ll learn ...

For example, gradient descent is often used in machine learning in ways that don’t require extreme precision. But a machine learning researcher might want to double the precision of an experiment. In ...

To machine learning pioneer Terry Sejnowski, the mathematical technique called stochastic gradient descent is the “secret sauce” of deep learning, and most people don’t actually grasp its ...