CN111656372A - 训练神经网络模型 - Google Patents

训练神经网络模型 Download PDF

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Publication number
CN111656372A
CN111656372A CN201880086997.3A CN201880086997A CN111656372A CN 111656372 A CN111656372 A CN 111656372A CN 201880086997 A CN201880086997 A CN 201880086997A CN 111656372 A CN111656372 A CN 111656372A
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data
processor
user
model
loss function
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E·布雷施
U·格罗塞卡特赫费尔
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Koninklijke Philips NV
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
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  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
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  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
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  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Processing Or Creating Images (AREA)
CN201880086997.3A 2017-11-20 2018-11-20 训练神经网络模型 Pending CN111656372A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762588575P 2017-11-20 2017-11-20
US62/588,575 2017-11-20
PCT/EP2018/081838 WO2019097071A1 (en) 2017-11-20 2018-11-20 Training a neural network model

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CN111656372A true CN111656372A (zh) 2020-09-11

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US (1) US20190156204A1 (https=)
EP (1) EP3714405A1 (https=)
JP (1) JP2021503662A (https=)
CN (1) CN111656372A (https=)
WO (1) WO2019097071A1 (https=)

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CN108764185B (zh) * 2018-06-01 2022-07-19 京东方科技集团股份有限公司 一种图像处理方法及装置
US12293294B2 (en) 2018-12-28 2025-05-06 Vizit Labs, Inc. Systems and methods for image or video performance heat map generation
US11301718B2 (en) * 2018-12-28 2022-04-12 Vizit Labs, Inc. Systems, methods, and storage media for training a machine learning model
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EP3991058A4 (en) 2019-06-27 2023-04-05 Tata Consultancy Services Limited INTELLIGENT VISUAL REASONING ON GRAPHIC ILLUSTRATIONS USING A MAC UNIT
JP2021015425A (ja) * 2019-07-11 2021-02-12 富士通株式会社 学習方法、学習プログラム及び学習装置
CN110688942B (zh) * 2019-09-25 2023-05-26 西安邮电大学 一种基于InResNet网络的心电信号联合识别模块及方法
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KR102402011B1 (ko) * 2020-02-18 2022-05-27 재단법인 아산사회복지재단 의료영상 처리 장치와 그 의료영상 학습 방법 및 의료영상 처리 방법
US11449716B2 (en) * 2020-03-31 2022-09-20 International Business Machines Corporation Model training using partially-annotated images
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CN112603330B (zh) * 2020-12-28 2022-07-26 中国科学院微电子研究所 心电信号识别分类方法
CN112732913B (zh) * 2020-12-30 2023-08-22 平安科技（深圳）有限公司 一种非均衡样本的分类方法、装置、设备及存储介质
JP7572684B2 (ja) * 2021-06-15 2024-10-24 日本電信電話株式会社 学習装置、学習方法及びプログラム
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RU2020120475A (ru) 2021-12-22
EP3714405A1 (en) 2020-09-30
JP2021503662A (ja) 2021-02-12
US20190156204A1 (en) 2019-05-23
WO2019097071A1 (en) 2019-05-23

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