CN108140142A - 选择性反向传播 - Google Patents

选择性反向传播 Download PDF

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Publication number
CN108140142A
CN108140142A CN201680056229.4A CN201680056229A CN108140142A CN 108140142 A CN108140142 A CN 108140142A CN 201680056229 A CN201680056229 A CN 201680056229A CN 108140142 A CN108140142 A CN 108140142A
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China
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class
examples
gradient
training
modifying
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Chinese (zh)
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R·B·托瓦
D·J·朱里安
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Qualcomm Inc
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Qualcomm Inc
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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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic 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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local 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
    • G06V10/443—Local 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
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements 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)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • 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)
CN201680056229.4A 2015-09-29 2016-09-07 选择性反向传播 Pending CN108140142A (zh)

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 (1)

Publication Number Publication Date
CN108140142A true CN108140142A (zh) 2018-06-08

Family

ID=58407414

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201680056229.4A Pending CN108140142A (zh) 2015-09-29 2016-09-07 选择性反向传播

Country Status (7)

Country Link
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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CN111950580A (zh) * 2019-05-14 2020-11-17 国际商业机器公司 使用平衡训练集的分类器的预测准确性

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US11250335B2 (en) * 2015-10-26 2022-02-15 NetraDyne, Inc. Joint processing for embedded data inference
US11995554B2 (en) * 2016-04-15 2024-05-28 Cambricon Technologies Corporation Limited Apparatus and methods for backward propagation in neural networks supporting discrete data
US10970605B2 (en) * 2017-01-03 2021-04-06 Samsung Electronics Co., Ltd. Electronic apparatus and method of operating the same
US11003989B2 (en) 2017-04-27 2021-05-11 Futurewei Technologies, Inc. Non-convex optimization by gradient-accelerated simulated annealing
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
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
US11077320B1 (en) 2020-02-07 2021-08-03 Elekta, Inc. Adversarial prediction of radiotherapy treatment plans
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

Citations (2)

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Publication number Priority date Publication date Assignee Title
US20090125463A1 (en) * 2007-11-13 2009-05-14 Shohei Hido Technique for classifying data
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090125463A1 (en) * 2007-11-13 2009-05-14 Shohei Hido Technique for classifying data
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

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SANG-HOON OH: "Error back-propagation algorithm for classification of imbalanced data", 《NEUROCOMPUTING》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111950580A (zh) * 2019-05-14 2020-11-17 国际商业机器公司 使用平衡训练集的分类器的预测准确性

Also Published As

Publication number Publication date
KR102582194B1 (ko) 2023-09-22
WO2017058479A1 (en) 2017-04-06
JP2018533138A (ja) 2018-11-08
JP6859332B2 (ja) 2021-04-14
BR112018006288A2 (pt) 2018-10-16
KR20180063189A (ko) 2018-06-11
EP3357003A1 (en) 2018-08-08
US20170091619A1 (en) 2017-03-30

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