NETWORK-LIGHTWEIGHT MODEL FOR MULTI DEEP-LEARNING TASKS

A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a plurality of predetermined machine learning tasks is received. One or more steps of the machine learning tasks associated with the received...

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Bibliographic Details
Main Authors Wang, Yong, Luo, Deng Xin, Wang, Yu Ying YY, Yang, Xiang Yu, Nan, Chi, Jia, Zhi Yong
Format Patent
LanguageEnglish
Published 13.06.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A method, computer program, and computer system are provided for performing multiple machine learning tasks through a shared framework. Data corresponding to a plurality of predetermined machine learning tasks is received. One or more steps of the machine learning tasks associated with the received data is performed on the received data by a shared backbone of a machine learning model. The predetermined plurality of machine learning tasks is completed on the received data by a plurality of sub-networks associated with each of the plurality of predetermined machine learning tasks.
Bibliography:Application Number: US202218064091