公开(公告)号：US20230009941A1

公开(公告)日：2023-01-12

申请号：US17939697

申请日：2022-09-07

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

Inventor： Juncai PENG ,  Yujuan CHENG ,  Chunwei YAN ,  Qiwen LIU

IPC: G06N3/08

Abstract: A method of processing data for a target model, an electronic device, and a storage medium, which relate to a field of deep learning. The method of processing data for a target model includes: acquiring the target model, wherein the target model includes at least one network layer, and each network layer of the at least one network layer includes a plurality of model parameters; for a target network layer in the at least one network layer, dividing the plurality of model parameters of the target network layer into a plurality of groups; and adjusting a data type of the model parameters in the plurality of groups from a first data type to a second data type respectively, so as to obtain a processed target model.