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 ...

Gradient descent is an essential tool of modern applied research, but there are many common problems for which it does not work well. But before this research, there was no comprehensive understanding ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini ...

Ben Grimmer showed that gradient descent algorithms can work faster by including unexpectedly large step sizes — the opposite of what researchers long believed.

Why does gradient descent work? Specifically, what can we guarantee about the point it converges to? In addition to gradient descent, we explore a large variety of optimization methods. What are the ...

The demo uses stochastic gradient descent, one of two possible training techniques. There is no single best machine learning regression technique. When kernel ridge regression prediction works, it is ...