公开(公告)号：US11645537B2

公开(公告)日：2023-05-09

申请号：US16746887

申请日：2020-01-19

Applicant: Beijing Horizon Robotics Technology Research and Development Co., Ltd.

Inventor： Zhichao Li ,  Yushu Gao ,  Yifeng Geng ,  Heng Luo

IPC: G06N20/20 ,  G06N3/084 ,  G06N3/045

CPC classification number: G06N3/084 ,  G06N3/045 ,  G06N20/20

Abstract: Disclosed are a neural network training method, a neural network training device and an electronic device. The neural network training method includes: training a first neural network to be trained by using sample data; determining an indicator parameter of the first neural network in a current training process; determining an update manner corresponding to a preset condition if the indicator parameter meets the preset condition; and updating a parameter of a batch normalization layer in the first neural network based on the update manner. In this way, sparsing of a feature map output by a neural network is implemented, thereby reducing an amount of data to be transmitted and improving computation speed of a chip.