KR20180084969A - Training methods, devices and electronics for neural network models - Google Patents

Training methods, devices and electronics for neural network models Download PDF

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Publication number
KR20180084969A
KR20180084969A KR1020187017577A KR20187017577A KR20180084969A KR 20180084969 A KR20180084969 A KR 20180084969A KR 1020187017577 A KR1020187017577 A KR 1020187017577A KR 20187017577 A KR20187017577 A KR 20187017577A KR 20180084969 A KR20180084969 A KR 20180084969A
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electronics
devices
neural network
network models
training methods
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KR1020187017577A
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Korean (ko)
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KR102161902B1 (en
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리 첸
송 왕
웨이 판
준 선
사토시 나오이
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후지쯔 가부시끼가이샤
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
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  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
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KR1020187017577A 2016-03-31 2016-03-31 Training methods, devices and electronics for neural network models KR102161902B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/077975 WO2017166155A1 (en) 2016-03-31 2016-03-31 Method and device for training neural network model, and electronic device

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KR20180084969A true KR20180084969A (en) 2018-07-25
KR102161902B1 KR102161902B1 (en) 2020-10-05

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JP (1) JP6601569B2 (en)
KR (1) KR102161902B1 (en)
CN (1) CN108140144B (en)
WO (1) WO2017166155A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102149495B1 (en) * 2019-08-19 2020-08-28 고려대학교 산학협력단 Optimization apparatus for training conditions of environmental prediction model and operating thereof

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109919308B (en) * 2017-12-13 2022-11-11 腾讯科技（深圳）有限公司 Neural network model deployment method, prediction method and related equipment
CN109034367A (en) * 2018-08-22 2018-12-18 广州杰赛科技股份有限公司 Neural network update method, device, computer equipment and readable storage medium storing program for executing
CN109165738B (en) * 2018-09-19 2021-09-14 北京市商汤科技开发有限公司 Neural network model optimization method and device, electronic device and storage medium
CN110288084A (en) * 2019-06-06 2019-09-27 北京小米智能科技有限公司 Super-network training method and device
US11347308B2 (en) 2019-07-26 2022-05-31 Samsung Electronics Co., Ltd. Method and apparatus with gaze tracking
CN112561026B (en) * 2019-09-25 2024-09-06 北京地平线机器人技术研发有限公司 Training method and device of neural network model, storage medium and electronic equipment
CN110738648A (en) * 2019-10-12 2020-01-31 山东浪潮人工智能研究院有限公司 camera shell paint spraying detection system and method based on multilayer convolutional neural network

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015011510A (en) * 2013-06-28 2015-01-19 株式会社デンソーアイティーラボラトリ Neural network optimization method, neural network optimization device and program
CN104794527A (en) * 2014-01-20 2015-07-22 富士通株式会社 Method and equipment for constructing classification model based on convolutional neural network

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5452400A (en) * 1991-08-30 1995-09-19 Mitsubishi Denki Kabushiki Kaisha Method of optimizing a combination using a neural network
JP2002042107A (en) * 2000-07-31 2002-02-08 Fuji Electric Co Ltd Learning method for neural network
CN100595780C (en) * 2007-12-13 2010-03-24 中国科学院合肥物质科学研究院 Handwriting digital automatic identification method based on module neural network SN9701 rectangular array
CN101975092B (en) * 2010-11-05 2012-08-15 中北大学 Real-time prediction method of mine gas concentration in short and medium terms based on radial basis function neural network integration
CN102479339B (en) * 2010-11-24 2014-07-16 香港理工大学 Method and system for forecasting short-term wind speed of wind farm based on hybrid neural network
CN104143327B (en) * 2013-07-10 2015-12-09 腾讯科技（深圳）有限公司 A kind of acoustic training model method and apparatus
CN104346622A (en) * 2013-07-31 2015-02-11 富士通株式会社 Convolutional neural network classifier, and classifying method and training method thereof
US9679258B2 (en) * 2013-10-08 2017-06-13 Google Inc. Methods and apparatus for reinforcement learning
CN104751228B (en) * 2013-12-31 2018-04-27 科大讯飞股份有限公司 Construction method and system for the deep neural network of speech recognition
EP3089081A4 (en) * 2014-02-10 2017-09-20 Mitsubishi Electric Corporation Hierarchical neural network device, learning method for determination device, and determination method
US10832138B2 (en) * 2014-11-27 2020-11-10 Samsung Electronics Co., Ltd. Method and apparatus for extending neural network
CN104700153A (en) * 2014-12-05 2015-06-10 江南大学 PH (potential of hydrogen) value predicting method of BP (back propagation) neutral network based on simulated annealing optimization
CN104978601B (en) * 2015-06-26 2017-08-25 深圳市腾讯计算机系统有限公司 neural network model training system and method
CN105184312B (en) * 2015-08-24 2018-09-25 中国科学院自动化研究所 A kind of character detecting method and device based on deep learning

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015011510A (en) * 2013-06-28 2015-01-19 株式会社デンソーアイティーラボラトリ Neural network optimization method, neural network optimization device and program
CN104794527A (en) * 2014-01-20 2015-07-22 富士通株式会社 Method and equipment for constructing classification model based on convolutional neural network

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102149495B1 (en) * 2019-08-19 2020-08-28 고려대학교 산학협력단 Optimization apparatus for training conditions of environmental prediction model and operating thereof
WO2021034106A1 (en) * 2019-08-19 2021-02-25 고려대학교 산학협력단 Device for optimizing training indicator of environment prediction model, and method for operating same

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Publication number Publication date
CN108140144A (en) 2018-06-08
JP2019508803A (en) 2019-03-28
WO2017166155A1 (en) 2017-10-05
CN108140144B (en) 2021-06-01
JP6601569B2 (en) 2019-11-06
KR102161902B1 (en) 2020-10-05

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