GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...
In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...
Optimization techniques that don't use Calculus gradients have been studied for decades but none have replaced gradient-based techniques. The two main weaknesses of bio-inspired and geo-inspired ...
Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results