ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,547,878, issued on Feb. 10, was assigned to GOOGLE LLC (Mountain View, Calif.).
"Highly efficient convolutional neural networks" was invented by Andrew Gerald Howard (Culver City, Calif.), Mark Sandler (Mountain View, Calif.), Liang-Chieh Chen (Los Angeles), Andrey Zhmoginov (Mountain View, Calif.) and Menglong Zhu (Playa Vista, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure provides directed to new, more efficient neural network architectures. As one example, in some implementations, the neural network architectures of the present disclosure can include a linear bottleneck layer positioned structurally prior to and/or afte...