US Patent Issued to NTT RESEARCH on June 30 for "Systems and methods for normalization in deep learning" (California Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,401, issued on June 30, was assigned to NTT RESEARCH INC. (Sunnyvale, Calif.).

"Systems and methods for normalization in deep learning" was invented by Hidenori Tanaka (Sunnyvale, Calif.) and Ekdeep Singh Lubana (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of training a neural network may be provided. The method may include receiving a raw data set and normalizing the raw data set using a group normalization layer to generate a training data set for training a neural network, wherein the group normalization layer segments the raw data set into a plurality of groups of a predetermined size. The method may also include ra...