2017
Learning Gradient Descent: Better Generalization and Longer Horizons
ICML 2017poster
Training deep neural networks is a highly nontrivial task, involving carefully selecting appropriate training algorithms, scheduling step sizes and tuning other hyperparameters. Trying different combinations can be quite labor-intensive and time consuming. Recently, researchers have tried to use dee…