公开(公告)号：US20250165782A1

公开(公告)日：2025-05-22

申请号：US19027111

申请日：2025-01-17

Applicant: Huawei Technologies Co., Ltd.

Inventor： Benyuan Sun ,  Jin Dai ,  Zihao Liang ,  Congying Liu ,  Yi Yang ,  Bo Bai

IPC: G06N3/08 ,  G06N3/04

Abstract: A neural network model training method includes: constructing a first neural network architecture, where the first neural network architecture includes M basic unit layers, each of the M basic unit layers includes a plurality of basic units, and the plurality of basic units includes at least a first-type basic unit and a second-type basic unit; and obtaining a target model through training based on datasets respectively corresponding to a plurality of tasks and the first neural network architecture, where the target model includes a plurality of task paths, at least some of the plurality of task paths include N basic units selected from some of the M basic unit layers, and N