公开(公告)号：US20220207427A1

公开(公告)日：2022-06-30

申请号：US17655253

申请日：2022-03-17

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Yangkai Xu ,  Guibin Wang ,  Xiaoyin Fu ,  Zhijie Chen ,  Mingshun Yang ,  Shijun Cong ,  Ming Jia ,  Lei Jia

IPC: G06N20/00

Abstract: A method for training a data processing model includes: acquiring sample data; acquiring an initial data processing model, the initial data processing model including a plurality of forward nodes for outputting a plurality of intermediate results corresponding to the sample data; determining a plurality of time-dependent features corresponding to the plurality of forward nodes; acquiring a data processing model to be trained by processing the initial data processing model based on the plurality of time-dependent features; and training the data processing model to be trained using the sample data and the plurality of intermediate results.