SG11201903591QA - Fast computation of a convolutional neural network - Google Patents

Fast computation of a convolutional neural network

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Publication number
SG11201903591QA
SG11201903591QA SG11201903591QA SG11201903591QA SG11201903591QA SG 11201903591Q A SG11201903591Q A SG 11201903591QA SG 11201903591Q A SG11201903591Q A SG 11201903591QA SG 11201903591Q A SG11201903591Q A SG 11201903591QA SG 11201903591Q A SG11201903591Q A SG 11201903591QA
Authority
SG
Singapore
Prior art keywords
neural network
convolutional neural
fast computation
computation
fast
Prior art date
Application number
SG11201903591QA
Inventor
Yongchao Liu
Qiyin Huang
Guozhen Pan
Sizhong Li
Jianguo Xu
Haitao Zhang
Lin Wang
Original Assignee
Advanced New Technologies 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.)
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Publication date
Application filed by Advanced New Technologies Co Ltd filed Critical Advanced New Technologies Co Ltd
Publication of SG11201903591QA publication Critical patent/SG11201903591QA/en

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    • 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
    • G06V40/172Classification, e.g. identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • 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
    • 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
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • 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
    • 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]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/19Recognition using electronic means
    • G06V30/191Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19173Classification techniques

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Neurology (AREA)
  • Medical Informatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Image Analysis (AREA)
SG11201903591QA 2018-10-24 2018-10-24 Fast computation of a convolutional neural network SG11201903591QA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2018/111655 WO2020082263A1 (en) 2018-10-24 2018-10-24 Fast computation of convolutional neural network

Publications (1)

Publication Number Publication Date
SG11201903591QA true SG11201903591QA (en) 2020-05-28

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Country Status (14)

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US (1) US10635951B1 (en)
EP (1) EP3662414A4 (en)
JP (1) JP6798021B1 (en)
KR (1) KR102141324B1 (en)
CN (1) CN110537193A (en)
AU (1) AU2018353930B2 (en)
BR (1) BR112019008055B1 (en)
CA (1) CA3040685C (en)
MX (1) MX2019004654A (en)
PH (1) PH12019500889A1 (en)
RU (1) RU2722473C1 (en)
SG (1) SG11201903591QA (en)
WO (1) WO2020082263A1 (en)
ZA (1) ZA201902547B (en)

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US11657282B2 (en) * 2019-09-16 2023-05-23 Qualcomm Incorporated Efficient inferencing with fast pointwise convolution
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CN111415000B (en) * 2020-04-29 2024-03-22 Oppo广东移动通信有限公司 Convolutional neural network, and data processing method and device based on convolutional neural network
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US11687336B2 (en) * 2020-05-08 2023-06-27 Black Sesame Technologies Inc. Extensible multi-precision data pipeline for computing non-linear and arithmetic functions in artificial neural networks
CN111767964A (en) * 2020-07-08 2020-10-13 福州大学 Improved DenseNet-based multi-channel feature re-labeling image classification method
JP2022018997A (en) * 2020-07-17 2022-01-27 ソニーセミコンダクタソリューションズ株式会社 Solid state image sensor, imaging apparatus, and information processing system
WO2022064901A1 (en) * 2020-09-28 2022-03-31 富士フイルム株式会社 Trained model transformation method, inference method, trained model transformation device, trained model, and inference device
CN116547672A (en) * 2020-12-01 2023-08-04 华为技术有限公司 Device and method for realizing tensor chain decomposition operation
JP7420100B2 (en) 2021-03-15 2024-01-23 オムロン株式会社 Processing device, processing method, and program
KR20220162971A (en) * 2021-06-02 2022-12-09 세메스 주식회사 Data processing method and data comparing method
CN117495833B (en) * 2023-11-16 2024-05-28 广州思沛医药科技股份有限公司 Big data-based cerebral apoplexy prediction method, system and storage medium

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Publication number Publication date
EP3662414A1 (en) 2020-06-10
JP2021501377A (en) 2021-01-14
EP3662414A4 (en) 2020-07-22
ZA201902547B (en) 2021-02-24
AU2018353930B2 (en) 2020-10-08
US10635951B1 (en) 2020-04-28
MX2019004654A (en) 2022-05-04
KR20200049695A (en) 2020-05-08
CA3040685A1 (en) 2020-04-28
BR112019008055A2 (en) 2021-05-18
US20200134400A1 (en) 2020-04-30
WO2020082263A1 (en) 2020-04-30
KR102141324B1 (en) 2020-08-05
BR112019008055B1 (en) 2022-02-01
PH12019500889A1 (en) 2019-06-17
JP6798021B1 (en) 2020-12-09
CN110537193A (en) 2019-12-03
AU2018353930A1 (en) 2020-05-14
RU2722473C1 (en) 2020-06-01
CA3040685C (en) 2020-07-28

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