arxivmath.OCcs.LG2026-07-05
Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks
Shokhrukh Ibragimov, Arnulf Jentzen
Gradient based optimization methods are nowadays the methods of choice for training deep neural networks (DNNs) in artificial intelligence (AI) systems. In practically relevant DNN training problems, one does usually not apply the standard gradient descent (GD) optimization metho…