US Patent Issued to Google on Aug. 26 for "Regularized neural network architecture search" (California Inventors)

ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,400,121, issued on Aug. 26, was assigned to Google LLC (Mountain View, Calif.).

"Regularized neural network architecture search" was invented by Yanping Huang (Mountain View, Calif.), Alok Aggarwal (Foster City, Calif.), Quoc V. Le (Sunnyvale, Calif.) and Esteban Alberto Real (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for receiving training data for training a neural network (NN) to perform a machine learning (ML) task and for determining, using the training data, an optimized NN architecture for performing the ML task is described. Determining the optimized NN architecture includes: maintaining population data comprising...