US Patent Issued to TEXAS INSTRUMENTS on June 2 for "Sparsified training of convolutional neural networks" (Indian Inventors)

ALEXANDRIA, Va., June 2 -- United States Patent no. 12,645,921, issued on June 2, was assigned to TEXAS INSTRUMENTS Inc. (Dallas).

"Sparsified training of convolutional neural networks" was invented by Manu Mathew (Bangalore, India), Kumar Desappan (Bangalore, India) and Pramod Kumar Swami (Bangalore, India).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for generating a sparsified convolutional neural network (CNN) is provided that includes training the CNN to generate coefficient values of filters of convolution layers, and performing sparsified fine tuning on the convolution layers to generate the sparsified CNN, wherein the sparsified fine tuning causes selected nonzero coefficient values of the ...