公开(公告)号：US20230082597A1

公开(公告)日：2023-03-16

申请号：US17990125

申请日：2022-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yunfeng Lin ,  Guilin Li ,  Xing Zhang ,  Weinan Zhang ,  Zhenguo Li

IPC: G06N3/04 ,  G06N3/08

Abstract: A neural network construction method and system in the field of artificial intelligence, to construct a target neural network by replacing a part of basic units in an initial backbone network with placeholder modules, so that different target neural networks can be constructed based on different scenarios. The method may include obtaining an initial backbone network and a candidate set, replacing at least one basic unit in the initial backbone network with at least one placeholder module to obtain a to-be-determined network, performing sampling based on the candidate set to obtain information about at least one sampling structure, and obtaining a network model based on the to-be-determined network and the information about the at least one sampling structure. The information about the at least one sampling structure may be used for determining a structure of the at least one placeholder module.