公开(公告)号：US20240211721A1

公开(公告)日：2024-06-27

申请号：US18389848

申请日：2023-12-20

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Sung-Ju LEE ,  Dong Hwi KIM ,  HyungJun YOON ,  Yewon KIM ,  Sujin HAN

IPC: G06N3/04 ,  G06N3/082

CPC classification number: G06N3/04 ,  G06N3/082

Abstract: There is provided a method for inferring a result data corresponding to an input data using an adaptive deep learning model in a mobile terminal including a memory and a processor. The method comprises determining computing resource information of the mobile terminal; determining a basic deep learning model stored in the memory of the mobile terminal; generating the adaptive deep learning model by transforming the basic deep learning model based on allocable resources determined with reference to the computing resource information of the the mobile terminal, wherein the adaptive deep learning model has a number of layers less than the basic deep learning model; and inputting the input data into the adaptive deep learning model in the mobile terminal to determine the inferred result data to be outputted from the adaptive deep learning model.