HUP1200018A2 - Method of training a neural network, as well as a neural network - Google Patents

Method of training a neural network, as well as a neural network

Info

Publication number
HUP1200018A2
HUP1200018A2 HU1200018A HUP1200018A HUP1200018A2 HU P1200018 A2 HUP1200018 A2 HU P1200018A2 HU 1200018 A HU1200018 A HU 1200018A HU P1200018 A HUP1200018 A HU P1200018A HU P1200018 A2 HUP1200018 A2 HU P1200018A2
Authority
HU
Hungary
Prior art keywords
neural network
training
well
neural
network
Prior art date
Application number
HU1200018A
Other languages
Hungarian (hu)
Inventor
Gabor Bayer
Original Assignee
77 Elektronika Mueszeripari Kft
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 77 Elektronika Mueszeripari Kft filed Critical 77 Elektronika Mueszeripari Kft
Priority to HU1200018A priority Critical patent/HUP1200018A2/en
Priority to PCT/HU2013/000006 priority patent/WO2013104938A2/en
Publication of HUP1200018A2 publication Critical patent/HUP1200018A2/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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]
HU1200018A 2012-01-11 2012-01-11 Method of training a neural network, as well as a neural network HUP1200018A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
HU1200018A HUP1200018A2 (en) 2012-01-11 2012-01-11 Method of training a neural network, as well as a neural network
PCT/HU2013/000006 WO2013104938A2 (en) 2012-01-11 2013-01-09 Neural network and a method for teaching thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
HU1200018A HUP1200018A2 (en) 2012-01-11 2012-01-11 Method of training a neural network, as well as a neural network

Publications (1)

Publication Number Publication Date
HUP1200018A2 true HUP1200018A2 (en) 2013-07-29

Family

ID=89990573

Family Applications (1)

Application Number Title Priority Date Filing Date
HU1200018A HUP1200018A2 (en) 2012-01-11 2012-01-11 Method of training a neural network, as well as a neural network

Country Status (2)

Country Link
HU (1) HUP1200018A2 (en)
WO (1) WO2013104938A2 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104751162A (en) * 2015-04-03 2015-07-01 哈尔滨工业大学 Hyperspectral remote sensing data feature extraction method based on convolution neural network
US20170256038A1 (en) * 2015-09-24 2017-09-07 Vuno Korea, Inc. Image Generating Method and Apparatus, and Image Analyzing Method
CN105528638B (en) * 2016-01-22 2018-04-24 沈阳工业大学 The method that gray relative analysis method determines convolutional neural networks hidden layer characteristic pattern number
WO2018224852A2 (en) 2017-06-09 2018-12-13 77 Elektronika Műszeripari Kft. Combined bright-field and phase-contrast microscopy system and image processing apparatus equipped therewith
TWI717655B (en) * 2018-11-09 2021-02-01 財團法人資訊工業策進會 Feature determination apparatus and method adapted to multiple object sizes
WO2020139835A1 (en) * 2018-12-26 2020-07-02 The Regents Of The University Of California Systems and methods for two-dimensional fluorescence wave propagation onto surfaces using deep learning
US11803963B2 (en) 2019-02-01 2023-10-31 Sartorius Bioanalytical Instruments, Inc. Computational model for analyzing images of a biological specimen
WO2020225580A1 (en) 2019-05-08 2020-11-12 77 Elektronika Műszeripari Kft. Image taking method, image analysis method, method for training an image analysis neural network, and image analysis neural network
CN116406468A (en) * 2020-11-17 2023-07-07 赛多利斯生物分析仪器有限公司 Computational model for analyzing images of biological specimens
CN113420813B (en) * 2021-06-23 2023-11-28 北京市机械工业局技术开发研究所 Diagnostic method for particulate matter filter cotton state of vehicle tail gas detection equipment
CN117520753B (en) * 2024-01-05 2024-04-05 河北中体善建体育产业有限公司 Early warning system and method for ice and snow sports

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5052043A (en) 1990-05-07 1991-09-24 Eastman Kodak Company Neural network with back propagation controlled through an output confidence measure
US5796410A (en) 1990-06-12 1998-08-18 Lucent Technologies Inc. Generation and use of defective images in image analysis
US5903884A (en) 1995-08-08 1999-05-11 Apple Computer, Inc. Method for training a statistical classifier with reduced tendency for overfitting
US6876966B1 (en) 2000-10-16 2005-04-05 Microsoft Corporation Pattern recognition training method and apparatus using inserted noise followed by noise reduction
US7130776B2 (en) 2002-03-25 2006-10-31 Lockheed Martin Corporation Method and computer program product for producing a pattern recognition training set
DE10245834A1 (en) 2002-10-01 2004-04-15 Siemens Ag Method for generating learning and / or test samples
US7418128B2 (en) 2003-07-31 2008-08-26 Microsoft Corporation Elastic distortions for automatic generation of labeled data
CN100377171C (en) 2004-08-13 2008-03-26 富士通株式会社 Method and apparatus for generating deteriorated numeral image
US7333963B2 (en) 2004-10-07 2008-02-19 Bernard Widrow Cognitive memory and auto-associative neural network based search engine for computer and network located images and photographs

Also Published As

Publication number Publication date
WO2013104938A3 (en) 2013-11-07
WO2013104938A2 (en) 2013-07-18

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Legal Events

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FD9A Lapse of provisional protection due to non-payment of fees