US Patent Issued to Google on May 19 for "Training neural networks using learned optimizers" (California Inventors)

ALEXANDRIA, Va., May 19 -- United States Patent no. 12,632,727, issued on May 19, was assigned to Google LLC (Mountain View, Calif.).

"Training neural networks using learned optimizers" was invented by Luke Shekerjian Metz (Mountain View, Calif.), Christian Daniel Freeman (San Francisco), Jascha Narain Sohl-Dickstein (San Francisco), Niruban Maheswaranathan (San Jose, Calif.) and James Michael Harrison (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training neural networks using learned optimizers. One of method is for training a neural network layer comprising a plurality of network parameters ...