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DE60140654D1 - Simulation von Faltungsnetzwerkverhalten und Anzeige von internen Zuständen eines Netzwerks - Google Patents

Simulation von Faltungsnetzwerkverhalten und Anzeige von internen Zuständen eines Netzwerks

Info

Publication number
DE60140654D1
DE60140654D1 DE60140654T DE60140654T DE60140654D1 DE 60140654 D1 DE60140654 D1 DE 60140654D1 DE 60140654 T DE60140654 T DE 60140654T DE 60140654 T DE60140654 T DE 60140654T DE 60140654 D1 DE60140654 D1 DE 60140654D1
Authority
DE
Germany
Prior art keywords
network
simulation
display
internal states
convolution
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.)
Expired - Lifetime
Application number
DE60140654T
Other languages
English (en)
Inventor
Julian Eggert
B Baeuml
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.)
Honda Research Institute Europe GmbH
Original Assignee
Honda Research Institute Europe GmbH
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 Honda Research Institute Europe GmbH filed Critical Honda Research Institute Europe GmbH
Application granted granted Critical
Publication of DE60140654D1 publication Critical patent/DE60140654D1/de
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • G06N3/045Combinations of networks
    • 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
    • G06N3/045Combinations of networks
    • G06N3/0455Auto-encoder networks; Encoder-decoder networks
    • 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
    • G06N3/10Interfaces, 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]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Complex Calculations (AREA)
  • Image Analysis (AREA)
DE60140654T 2001-03-15 2001-03-15 Simulation von Faltungsnetzwerkverhalten und Anzeige von internen Zuständen eines Netzwerks Expired - Lifetime DE60140654D1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP01106567A EP1241619B1 (de) 2001-03-15 2001-03-15 Simulation von Faltungsnetzwerkverhalten und Anzeige von internen Zuständen eines Netzwerks

Publications (1)

Publication Number Publication Date
DE60140654D1 true DE60140654D1 (de) 2010-01-14

Family

ID=8176804

Family Applications (1)

Application Number Title Priority Date Filing Date
DE60140654T Expired - Lifetime DE60140654D1 (de) 2001-03-15 2001-03-15 Simulation von Faltungsnetzwerkverhalten und Anzeige von internen Zuständen eines Netzwerks

Country Status (4)

Country Link
US (1) US7236961B2 (de)
EP (1) EP1241619B1 (de)
JP (1) JP4132892B2 (de)
DE (1) DE60140654D1 (de)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7058917B1 (en) * 2002-06-04 2006-06-06 Cadence Design Systems, Inc. Method and apparatus for specifying a cost function that represents the estimated distance between an external state and a set of states in a space
US7549111B2 (en) * 2005-09-21 2009-06-16 International Business Machines Corporation Apparatus, system, and method for converting between serial data and encoded holographic data
JP2016197389A (ja) * 2015-04-03 2016-11-24 株式会社デンソーアイティーラボラトリ 学習システム、学習プログラムおよび学習方法
US10909329B2 (en) * 2015-05-21 2021-02-02 Baidu Usa Llc Multilingual image question answering
CN106599773B (zh) * 2016-10-31 2019-12-24 清华大学 用于智能驾驶的深度学习图像识别方法、系统及终端设备
US12072951B2 (en) 2017-03-02 2024-08-27 Sony Corporation Apparatus and method for training neural networks using weight tying

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6122403A (en) * 1995-07-27 2000-09-19 Digimarc Corporation Computer system linked by using information in data objects
CA2195110A1 (en) * 1994-07-14 1996-02-01 Stephen G. Johnson Method and apparatus for compressing images

Also Published As

Publication number Publication date
EP1241619A1 (de) 2002-09-18
US7236961B2 (en) 2007-06-26
JP2002342738A (ja) 2002-11-29
EP1241619B1 (de) 2009-12-02
JP4132892B2 (ja) 2008-08-13
US20030028359A1 (en) 2003-02-06

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