公开(公告)号：US20210216875A1

公开(公告)日：2021-07-15

申请号：US17218033

申请日：2021-03-30

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Tianjian He ,  Yi Liu ,  Daxiang Dong ,  Yanjun Ma ,  Dianhai Yu

IPC: G06N3/08 ,  G06N3/10

Abstract: A method for training a deep learning model may include: acquiring model description information and configuration information of a deep learning model; segmenting the model description information into at least two sections based on segmentation point variable in the configuration information, and loading the model description information to a corresponding resource to run; inputting a batch of training samples into a resource corresponding to a first section of model description information, then starting training and using obtained context information as an input of a resource corresponding to a subsequent section of model description information; and so on until an operation result of a resource corresponding to a final section of model description information is obtained; if a training completion condition is met, outputting a trained deep learning model; and otherwise, keeping on acquiring a subsequent batch of training samples and performing the above training steps until the condition is met.