SG10201802739PA - Neural network systems - Google Patents

Neural network systems

Info

Publication number
SG10201802739PA
SG10201802739PA SG10201802739PA SG10201802739PA SG10201802739PA SG 10201802739P A SG10201802739P A SG 10201802739PA SG 10201802739P A SG10201802739P A SG 10201802739PA SG 10201802739P A SG10201802739P A SG 10201802739PA SG 10201802739P A SG10201802739P A SG 10201802739PA
Authority
SG
Singapore
Prior art keywords
network
artificial neural
systems
task images
neural network
Prior art date
Application number
SG10201802739PA
Inventor
Ser Nam Lim
David Scott Diwinsky
Xiao Bian
Original Assignee
Gen Electric
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 Gen Electric filed Critical Gen Electric
Publication of SG10201802739PA publication Critical patent/SG10201802739PA/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/64Three-dimensional objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Neurology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

NEURAL NETWORK SYSTEMS Systems and methods are provided relating to artificial neural networks are provided. The systems and methods obtain a teacher network that includes artificial neural layers configured to automatically identify one or more objects in an image examined by the artificial neural layers, receive a set of task images at the teacher network, examine the set of task images with the teacher network, identify a subset of the artificial neural layers that are utilized during examination of the set of task images with the teacher network, and define a student network based on the set of task images. The student network is configured to automatically identify one or more objects in an image examined by the subset. [Figure 1]
SG10201802739PA 2017-04-21 2018-04-02 Neural network systems SG10201802739PA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/493,765 US10592725B2 (en) 2017-04-21 2017-04-21 Neural network systems

Publications (1)

Publication Number Publication Date
SG10201802739PA true SG10201802739PA (en) 2018-11-29

Family

ID=62046664

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201802739PA SG10201802739PA (en) 2017-04-21 2018-04-02 Neural network systems

Country Status (5)

Country Link
US (1) US10592725B2 (en)
EP (1) EP3392806A1 (en)
CN (1) CN108734283B (en)
CA (1) CA3001193A1 (en)
SG (1) SG10201802739PA (en)

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CN113869464B (en) * 2021-12-02 2022-03-18 深圳佑驾创新科技有限公司 Training method of image classification model and image classification method
CN117011617B (en) * 2023-10-07 2024-03-22 之江实验室 Pulmonary nodule detection device based on two-stage teacher-student framework and construction method

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Also Published As

Publication number Publication date
CN108734283B (en) 2023-06-09
US10592725B2 (en) 2020-03-17
CN108734283A (en) 2018-11-02
US20180307894A1 (en) 2018-10-25
CA3001193A1 (en) 2018-10-21
EP3392806A1 (en) 2018-10-24

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