KR102582194B1 - 선택적 역전파 - Google Patents

선택적 역전파 Download PDF

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KR102582194B1
KR102582194B1 KR1020187012033A KR20187012033A KR102582194B1 KR 102582194 B1 KR102582194 B1 KR 102582194B1 KR 1020187012033 A KR1020187012033 A KR 1020187012033A KR 20187012033 A KR20187012033 A KR 20187012033A KR 102582194 B1 KR102582194 B1 KR 102582194B1
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KR20180063189A (ko
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레건 블라이스 토월
데이비드 조나단 줄리안
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퀄컴 인코포레이티드
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/10Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Molecular Biology (AREA)
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  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Feedback Control In General (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
KR1020187012033A 2015-09-29 2016-09-07 선택적 역전파 Active KR102582194B1 (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201562234559P 2015-09-29 2015-09-29
US62/234,559 2015-09-29
US15/081,780 US20170091619A1 (en) 2015-09-29 2016-03-25 Selective backpropagation
US15/081,780 2016-03-25
PCT/US2016/050539 WO2017058479A1 (en) 2015-09-29 2016-09-07 Selective backpropagation

Publications (2)

Publication Number Publication Date
KR20180063189A KR20180063189A (ko) 2018-06-11
KR102582194B1 true KR102582194B1 (ko) 2023-09-22

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US (1) US20170091619A1 (enExample)
EP (1) EP3357003A1 (enExample)
JP (1) JP6859332B2 (enExample)
KR (1) KR102582194B1 (enExample)
CN (1) CN108140142A (enExample)
BR (1) BR112018006288A2 (enExample)
WO (1) WO2017058479A1 (enExample)

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CN107229968B (zh) * 2017-05-24 2021-06-29 北京小米移动软件有限公司 梯度参数确定方法、装置及计算机可读存储介质
US11517768B2 (en) * 2017-07-25 2022-12-06 Elekta, Inc. Systems and methods for determining radiation therapy machine parameter settings
US11556794B2 (en) * 2017-08-31 2023-01-17 International Business Machines Corporation Facilitating neural networks
WO2019070300A1 (en) * 2017-10-06 2019-04-11 Google Llc SYSTEMS AND METHODS FOR IMAGE SWITCHING
US11615129B2 (en) * 2017-11-28 2023-03-28 International Business Machines Corporation Electronic message text classification framework selection
US11475306B2 (en) 2018-03-22 2022-10-18 Amazon Technologies, Inc. Processing for multiple input data sets
US11461631B2 (en) * 2018-03-22 2022-10-04 Amazon Technologies, Inc. Scheduling neural network computations based on memory capacity
US20190303176A1 (en) * 2018-03-29 2019-10-03 Qualcomm Incorporated Using Machine Learning to Optimize Memory Usage
US11281999B2 (en) * 2019-05-14 2022-03-22 International Business Machines Corporation Armonk, New York Predictive accuracy of classifiers using balanced training sets
JP7295710B2 (ja) * 2019-06-07 2023-06-21 ジオテクノロジーズ株式会社 学習用画像データ生成装置
US12226657B2 (en) 2019-06-20 2025-02-18 Elekta, Inc. Predicting radiotherapy control points using projection images
WO2021040944A1 (en) 2019-08-26 2021-03-04 D5Ai Llc Deep learning with judgment
US20210065054A1 (en) * 2019-09-03 2021-03-04 Koninklijke Philips N.V. Prioritizing tasks of domain experts for machine learning model training
US20210089924A1 (en) * 2019-09-24 2021-03-25 Nec Laboratories America, Inc Learning weighted-average neighbor embeddings
JP7268924B2 (ja) * 2019-11-14 2023-05-08 株式会社アクセル 推論システム、推論装置、推論方法及び推論プログラム
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DE102020207004A1 (de) * 2020-06-04 2021-12-09 Robert Bosch Gesellschaft mit beschränkter Haftung Regularisiertes Training neuronaler Netzwerke
WO2023069973A1 (en) * 2021-10-19 2023-04-27 Emory University Selective backpropagation through time

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JP5142135B2 (ja) * 2007-11-13 2013-02-13 インターナショナル・ビジネス・マシーンズ・コーポレーション データを分類する技術
CN103763350A (zh) * 2014-01-02 2014-04-30 北京邮电大学 基于误差反向传播神经网络的web服务选择方法

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Also Published As

Publication number Publication date
WO2017058479A1 (en) 2017-04-06
JP2018533138A (ja) 2018-11-08
JP6859332B2 (ja) 2021-04-14
CN108140142A (zh) 2018-06-08
BR112018006288A2 (pt) 2018-10-16
KR20180063189A (ko) 2018-06-11
EP3357003A1 (en) 2018-08-08
US20170091619A1 (en) 2017-03-30

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