ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,542, issued on Dec. 30, was assigned to Google LLC (Mountain View, Calif.).
"Compound model scaling for neural networks" was invented by Mingxing Tan (Newark, Calif.) and Quoc V. Le (Sunnyvale, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for determining a final architecture for a neural network to perform a particular machine learning task is described. The method includes receiving a baseline architecture for the neural network, wherein the baseline architecture has a network width dimension, a network depth dimension, and a resolution dimension; receiving data defining a compound coefficient that controls extra computational res...