The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 29, 2021
Filed:
Mar. 31, 2015
Institute of Acoustics, Chinese Academy of Sciences, Beijing, CN;
Shanghai 3ntv Network Technology Co. Ltd., Shanghai, CN;
Yiqiang Sheng, Beijing, CN;
Jinlin Wang, Beijing, CN;
Haojiang Deng, Beijing, CN;
Jiali You, Beijing, CN;
INSTITUTE OF ACOUSTICS, CHINESE ACADEMY OF SCIENCES, Beijing, CN;
SHANGHAI 3NTV NETWORK TECHNOLOGY CO. LTD., Shanghai, CN;
Abstract
A big data processing method based on a deep learning model satisfying K-degree sparse constraints comprises: step 1), constructing a deep learning model satisfying K-degree sparse constraints using an un-marked training sample via a gradient pruning method, wherein the K-degree sparse constraints comprise a node K-degree sparse constraint and a level K-degree sparse constraint; step 2), inputting an updated training sample into the deep learning model satisfying the K-degree sparse constraints, and optimizing a weight parameter of each layer of the model, so as to obtain an optimized deep learning model satisfying the K-degree sparse constraint; and step 3), inputting big data to be processed into the optimized deep learning model satisfying the K-degree sparse constraints for processing, and finally outputting a processing result. The method in the present invention can reduce the difficulty of big data processing and increase the speed of big data processing.