公开(公告)号：US20220114453A1

公开(公告)日：2022-04-14

申请号：US17236503

申请日：2021-04-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Won-Jo LEE ,  Youngmin OH ,  Minkyoung CHO

IPC: G06N3/08 ,  G06K9/62

Abstract: A neural network pruning method includes: acquiring a first task accuracy of an inference task processed by a pretrained neural network; pruning, based on a channel unit, the neural network by adjusting weights between nodes of channels based on a preset learning weight and based on a channel-by-channel pruning parameter corresponding to a channel of each of a plurality of layers of the pretrained neural network; updating the learning weight based on the first task accuracy and a task accuracy of the pruned neural network; updating the channel-by-channel pruning parameter based on the updated learning weight and the task accuracy of the pruned neural network; and repruning, based on the channel unit, the pruned neural network based on the updated learning weight and based on the updated channel-by-channel pruning parameter.