Sign up to save your podcasts
Or
Share Training Deep Networks as Random Effects: An Optimization–Inference Duality
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Training Deep Networks as Random Effects: An Optimization–Inference Duality
Explores training dynamics of deep neural networks through a statistical lens, examining the duality between optimization and inference perspectives.
View all episodes
By Shaoqing TanExplores training dynamics of deep neural networks through a statistical lens, examining the duality between optimization and inference perspectives.