Title:
NEURAL NETWORK MODEL TRAINING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/140377
Kind Code:
A1
Abstract:
A neural network model training method and apparatus, a computer device, and a storage medium, for use in selecting a targeted training sample and improving the targeted property and training efficiency of model training. The method partially comprises: obtaining a model prediction value of each reference sample in all reference samples according to a trained deep neural network model, calculating a difference measurement index between the model prediction value of each reference sample and a real annotation corresponding to each reference sample, and taking a target reference sample of which the difference measurement index is lower than or equal to a preset threshold value in all the reference samples as a comparison sample; taking the training sample of which a similarity with the comparison sample meets a preset amplification condition as a sample to be amplified; and performing data amplification on the sample to be amplified to obtain a target training sample as a training sample in a training set, so as to training the trained deep neural network model until the model prediction values of all verification samples in a verification set meet a preset training ending condition.
Inventors:
GUO YAN (CN)
LV BIN (CN)
LV CHUANFENG (CN)
XIE GUOTONG (CN)
LV BIN (CN)
LV CHUANFENG (CN)
XIE GUOTONG (CN)
Application Number:
PCT/CN2019/089194
Publication Date:
July 09, 2020
Filing Date:
May 30, 2019
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06N3/08; G06N3/04
Foreign References:
| CN108304936A | 2018-07-20 | |||
| CN103679160A | 2014-03-26 | |||
| CN104899579A | 2015-09-09 | |||
| CN107247991A | 2017-10-13 | |||
| US9824692B1 | 2017-11-21 |
Attorney, Agent or Firm:
SHENZHEN ZHONGDING INTELLECTUAL PROPERTY AGENCY (CN)
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