公开(公告)号：US20250068908A1

公开(公告)日：2025-02-27

申请号：US18944150

申请日：2024-11-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Van Minh NGUYEN ,  Louis LECONTE

IPC: G06N3/08

Abstract: A device for training a binary deep neural network, where the device includes a processor, is configured to: generate a training signal in dependence on an error between an output of a prototype version of the binary deep neural network and an expected output, the prototype version of the binary deep neural network having multiple binary weights each having a respective value; and in dependence on the training signal, output for each binary weight of the prototype version of the binary deep neural network a respective decision to invert or maintain the respective value of the respective binary weight. This may allow the device to train a deep neural network including binary parameters directly in the binary domain without the need for gradient processing methods.