Accelerating Training in Artificial Neural Networks with Dynamic Mode Decomposition

Mauricio E. Tano, Gavin D. Portwood, Jean C. Ragusa

Training of deep neural networks (DNNs) frequently involves optimizing several millions or even billions of parameters. Even with modern computing architectures, the computational…