SG11202102972PA - Neural network searching method and device - Google Patents

Neural network searching method and device

Info

Publication number
SG11202102972PA
SG11202102972PA SG11202102972PA SG11202102972PA SG11202102972PA SG 11202102972P A SG11202102972P A SG 11202102972PA SG 11202102972P A SG11202102972P A SG 11202102972PA SG 11202102972P A SG11202102972P A SG 11202102972PA SG 11202102972P A SG11202102972P A SG 11202102972PA
Authority
SG
Singapore
Prior art keywords
neural network
searching method
network searching
neural
searching
Prior art date
Application number
SG11202102972PA
Inventor
Xinchi Zhou
Dongzhan Zhou
Shuai Yi
Wanli Ouyang
Original Assignee
Beijing Sensetime Technology Development 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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202102972PA publication Critical patent/SG11202102972PA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Neurology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
SG11202102972PA 2019-05-31 2019-11-08 Neural network searching method and device SG11202102972PA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910471323.1A CN110188878A (en) 2019-05-31 2019-05-31 Neural network searching method and device
PCT/CN2019/116623 WO2020238039A1 (en) 2019-05-31 2019-11-08 Neural network search method and apparatus

Publications (1)

Publication Number Publication Date
SG11202102972PA true SG11202102972PA (en) 2021-04-29

Family

ID=67719521

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202102972PA SG11202102972PA (en) 2019-05-31 2019-11-08 Neural network searching method and device

Country Status (6)

Country Link
US (1) US20210216854A1 (en)
JP (1) JP7168772B2 (en)
CN (1) CN110188878A (en)
SG (1) SG11202102972PA (en)
TW (1) TWI751458B (en)
WO (1) WO2020238039A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110188878A (en) * 2019-05-31 2019-08-30 北京市商汤科技开发有限公司 Neural network searching method and device
US11640552B2 (en) * 2019-10-01 2023-05-02 International Business Machines Corporation Two stage training to obtain a best deep learning model with efficient use of computing resources
CN111126564B (en) * 2019-11-27 2023-08-08 东软集团股份有限公司 Neural network structure searching method, device and equipment
CN111178316B (en) * 2020-01-06 2022-04-15 武汉大学 High-resolution remote sensing image land coverage classification method
CN111382868B (en) * 2020-02-21 2024-06-18 华为技术有限公司 Neural network structure searching method and device
CN112489012A (en) * 2020-11-27 2021-03-12 大连东软教育科技集团有限公司 Neural network architecture method for CT image recognition
CN114925739B (en) * 2021-02-10 2023-11-03 华为技术有限公司 Target detection method, device and system
CN113239077B (en) * 2021-07-12 2021-10-26 深圳市永达电子信息股份有限公司 Searching method, system and computer readable storage medium based on neural network

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8775341B1 (en) * 2010-10-26 2014-07-08 Michael Lamport Commons Intelligent control with hierarchical stacked neural networks
US9208432B2 (en) * 2012-06-01 2015-12-08 Brain Corporation Neural network learning and collaboration apparatus and methods
CN105678380A (en) * 2016-01-08 2016-06-15 浙江工业大学 Ecological niche and adaptive negative correlation learning-based evolutionary neural network integration method
CN108229280B (en) * 2017-04-20 2020-11-13 北京市商汤科技开发有限公司 Time domain action detection method and system, electronic equipment and computer storage medium
CN107480725A (en) 2017-08-23 2017-12-15 京东方科技集团股份有限公司 Image-recognizing method, device and computer equipment based on deep learning
CN108985386A (en) * 2018-08-07 2018-12-11 北京旷视科技有限公司 Obtain method, image processing method and the corresponding intrument of image processing model
CN110188878A (en) * 2019-05-31 2019-08-30 北京市商汤科技开发有限公司 Neural network searching method and device

Also Published As

Publication number Publication date
JP2022502762A (en) 2022-01-11
TW202046184A (en) 2020-12-16
CN110188878A (en) 2019-08-30
WO2020238039A1 (en) 2020-12-03
TWI751458B (en) 2022-01-01
JP7168772B2 (en) 2022-11-09
US20210216854A1 (en) 2021-07-15

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