JP2018511870A - セグメントに基づく二段深層学習モデル用のビッグデータの処理方法 - Google Patents

セグメントに基づく二段深層学習モデル用のビッグデータの処理方法 Download PDF

Info

Publication number
JP2018511870A
JP2018511870A JP2017548135A JP2017548135A JP2018511870A JP 2018511870 A JP2018511870 A JP 2018511870A JP 2017548135 A JP2017548135 A JP 2017548135A JP 2017548135 A JP2017548135 A JP 2017548135A JP 2018511870 A JP2018511870 A JP 2018511870A
Authority
JP
Japan
Prior art keywords
stage
layer
segment
deep learning
learning model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP2017548135A
Other languages
English (en)
Japanese (ja)
Other versions
JP2018511870A5 (https=
Inventor
ワン，チンリン
ユー，ジアリー
シェン，イチャン
リー，チャオペン
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of Acoustics CAS
Shanghai 3Ntv Network Technology Co Ltd
Original Assignee
Institute of Acoustics CAS
Shanghai 3Ntv Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of Acoustics CAS, Shanghai 3Ntv Network Technology Co Ltd filed Critical Institute of Acoustics CAS
Publication of JP2018511870A publication Critical patent/JP2018511870A/ja
Publication of JP2018511870A5 publication Critical patent/JP2018511870A5/ja
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • 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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed 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
    • G06N3/0499—Feedforward 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Complex Calculations (AREA)
JP2017548135A 2015-03-13 2015-03-31 セグメントに基づく二段深層学習モデル用のビッグデータの処理方法 Pending JP2018511870A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201510111904.6A CN106033554A (zh) 2015-03-13 2015-03-13 一种基于分段的两级深度学习模型的大数据处理方法
CN201510111904.6 2015-03-13
PCT/CN2015/075472 WO2016145675A1 (zh) 2015-03-13 2015-03-31 一种基于分段的两级深度学习模型的大数据处理方法

Publications (2)

Publication Number Publication Date
JP2018511870A true JP2018511870A (ja) 2018-04-26
JP2018511870A5 JP2018511870A5 (https=) 2019-04-18

Family

ID=56918381

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2017548135A Pending JP2018511870A (ja) 2015-03-13 2015-03-31 セグメントに基づく二段深層学習モデル用のビッグデータの処理方法

Country Status (5)

Country Link
US (1) US20180068215A1 (https=)
EP (1) EP3270329A4 (https=)
JP (1) JP2018511870A (https=)
CN (1) CN106033554A (https=)
WO (1) WO2016145675A1 (https=)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108198625B (zh) * 2016-12-08 2021-07-20 推想医疗科技股份有限公司 一种分析高维医疗数据的深度学习方法和装置
JP6858082B2 (ja) * 2017-06-07 2021-04-14 Kddi株式会社 管理装置、管理方法、及びプログラム
CN107316024B (zh) * 2017-06-28 2021-06-29 北京博睿视科技有限责任公司 基于深度学习的周界报警算法
CN109522914A (zh) * 2017-09-19 2019-03-26 中国科学院沈阳自动化研究所 一种基于图像的模型融合的神经网络结构训练方法
CN109993299B (zh) * 2017-12-29 2024-02-27 中兴通讯股份有限公司 数据训练方法及装置、存储介质、电子装置
CN109005060B (zh) * 2018-08-02 2022-01-25 上海交通大学 一种基于层级化高度异构分布式系统的深度学习应用优化框架
CN109299782B (zh) * 2018-08-02 2021-11-12 奇安信科技集团股份有限公司 一种基于深度学习模型的数据处理方法及装置
CN109657285A (zh) * 2018-11-27 2019-04-19 中国科学院空间应用工程与技术中心 汽轮机转子瞬态应力的检测方法
CN109558909B (zh) * 2018-12-05 2020-10-23 清华大学深圳研究生院 基于数据分布的机器深度学习方法
CN110287175A (zh) * 2019-05-19 2019-09-27 中国地质调查局西安地质调查中心 一种资源环境承载能力的大数据智能测定系统
CN110889492B (zh) * 2019-11-25 2022-03-08 北京百度网讯科技有限公司 用于训练深度学习模型的方法和装置
CN112465030B (zh) * 2020-11-28 2022-06-07 河南财政金融学院 一种基于两级迁移学习的多源异构信息融合故障诊断方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0438556A (ja) * 1990-06-04 1992-02-07 Takayama:Kk データ処理装置
JP2001022722A (ja) * 1999-07-05 2001-01-26 Nippon Telegr & Teleph Corp <Ntt> 質的変数で条件付けられる数法則の発見方法及び装置及び質的変数で条件付けられる数法則の発見プログラムを格納した記憶媒体
JP2005237668A (ja) * 2004-02-26 2005-09-08 Kazuya Mera コンピュータネットワークにおける感情を考慮した対話装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR910020571A (ko) * 1990-05-21 1991-12-20 다카도리 수나오 데이터 처리장치
WO2014205231A1 (en) * 2013-06-19 2014-12-24 The Regents Of The University Of Michigan Deep learning framework for generic object detection
CN103945533B (zh) * 2014-05-15 2016-08-31 济南嘉科电子技术有限公司 基于大数据的无线实时位置定位方法
CN104102929B (zh) * 2014-07-25 2017-05-03 哈尔滨工业大学 基于深度学习的高光谱遥感数据分类方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0438556A (ja) * 1990-06-04 1992-02-07 Takayama:Kk データ処理装置
JP2001022722A (ja) * 1999-07-05 2001-01-26 Nippon Telegr & Teleph Corp <Ntt> 質的変数で条件付けられる数法則の発見方法及び装置及び質的変数で条件付けられる数法則の発見プログラムを格納した記憶媒体
JP2005237668A (ja) * 2004-02-26 2005-09-08 Kazuya Mera コンピュータネットワークにおける感情を考慮した対話装置

Also Published As

Publication number Publication date
CN106033554A (zh) 2016-10-19
WO2016145675A1 (zh) 2016-09-22
US20180068215A1 (en) 2018-03-08
EP3270329A4 (en) 2018-04-04
EP3270329A1 (en) 2018-01-17

Similar Documents

Publication Publication Date Title
JP2018511870A (ja) セグメントに基づく二段深層学習モデル用のビッグデータの処理方法
JP6466590B2 (ja) Ｋ次数スパース制約を満たす深層学習モデルに基づくビッグデータの処理方法
CN108010514B (zh) 一种基于深度神经网络的语音分类方法
CN104751227B (zh) 用于语音识别的深度神经网络的构建方法及系统
CN108847223B (zh) 一种基于深度残差神经网络的语音识别方法
CN106779068A (zh) 调整人工神经网络的方法和装置
CN112215353B (zh) 一种基于变分结构优化网络的通道剪枝方法
CN110188733A (zh) 基于3d区域卷积神经网络的时序行为检测方法及系统
CN110859624A (zh) 一种基于结构磁共振影像的大脑年龄深度学习预测系统
WO2020151310A1 (zh) 文本生成方法、装置、计算机设备及介质
CN113627545A (zh) 一种基于同构多教师指导知识蒸馏的图像分类方法及系统
CN106204597B (zh) 一种基于自步式弱监督学习的视频物体分割方法
JP2018511870A5 (https=)
CN110084741A (zh) 基于显著性检测和深度卷积神经网络的图像风络迁移方法
CN104809502A (zh) 一种受限玻尔兹曼机隐含层节点动态调整方法
CN107169566A (zh) 动态神经网络模型训练方法和装置
CN112487938A (zh) 一种利用深度学习算法实现垃圾分类的方法
CN118839766A (zh) 一种面向多边缘设备的Transformer模型协同推理方法
CN118607665A (zh) 一种基于集成化模型的增量式多模态专家大模型架构
CN115310209A (zh) 基于vae的气动形状迁移优化方法及相关装置
CN112561054B (zh) 一种基于批量特征热图的神经网络滤波器剪枝方法
CN110728391B (zh) 一种基于可拓展信息的深度回归森林短期负荷预测方法
CN109740481A (zh) 基于跳跃连接的cnn与lstm结合的房颤信号分类方法
Yu et al. Traffic prediction method based on RBF neural network with improved artificial bee colony algorithm
CN114140848A (zh) 基于knn和dsn的微表情识别方法、系统、设备及存储介质

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20171107

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20181130

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20181211

A524 Written submission of copy of amendment under article 19 pct

Free format text: JAPANESE INTERMEDIATE CODE: A524

Effective date: 20190308

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20190416

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20191112