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Title:
NEURAL NETWORK TRAINING SYSTEM AND METHOD, AND COMPUTER READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2019/037409
Kind Code:
A1
Abstract:
A neural network training system and method, and a computer readable storage medium, wherein same fall within the field of machine learning algorithms. The neural network training system (300) comprises: a first processing device (301) and a second processing device (302), wherein the first processing device (301) is used for acquiring a weight vector of a target neural network and N data vectors in a training set, and carrying out a first operation based on each data vector of the N data vectors and the weight vector to obtain N groups of output values, and the first operation comprises a vector dot product operation; and the second processing device (302) is used for acquiring at least one correction value calculated according to the N groups of output values, and correcting, according to the at least one correction value, vector elements in the weight vector of the neural network stored in the second processing device (302) to obtain a corrected weight vector, and sending the corrected weight vector to the first processing device (301). By means of the provided neural network training system, the efficiency of neural network training can be improved.

Inventors:
FEI, Xudong (Huawei Administration Building, BantianLonggang Distric, Shenzhen Guangdong 9, 518129, CN)
Application Number:
CN2018/079500
Publication Date:
February 28, 2019
Filing Date:
March 19, 2018
Export Citation:
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Assignee:
HUAWEI TECHNOLOGIES CO., LTD. (Huawei Administration Building, BantianLonggang Distric, Shenzhen Guangdong 9, 518129, CN)
International Classes:
G06N3/063; G06N3/02; G06N3/08
Foreign References:
CN106203622A2016-12-07
CN105678395A2016-06-15
CN106203616A2016-12-07
CN105654176A2016-06-08
CN105900116A2016-08-24
Attorney, Agent or Firm:
BEIJING SAN GAO YONG XIN INTELLECTUAL PROPERTY AGENCY CO., LTD. (A-1-102, He Jing Yuan Ji Men Li, Xueyuan Road,Haidian District, Beijing 8, 100088, CN)
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