公开(公告)号：US20190286986A1

公开(公告)日：2019-09-19

申请号：US16431393

申请日：2019-06-04

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Wu BIN ,  Fengwei ZHOU ,  Zhenguo LI

IPC: G06N3/08

Abstract: Embodiments of the present invention provide a machine learning model training method, including: obtaining target task training data and N categories of support task training data; inputting the target task training data and the N categories of support task training data into a memory model to obtain target task training feature data and N categories of support task training feature data; training the target task model based on the target task training feature data and obtaining a first loss of the target task model, and separately training respectively corresponding support task models based on the N categories of support task training feature data and obtaining respective second losses of the N support task models; and updating the memory model, the target task model, and the N support task models based on the first loss and the respective second losses of the N support task models.