GB2587445B - Method and System for Implementing a Variable Accuracy Neural Network - Google Patents

Method and System for Implementing a Variable Accuracy Neural Network Download PDF

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Publication number
GB2587445B
GB2587445B GB2005029.0A GB202005029A GB2587445B GB 2587445 B GB2587445 B GB 2587445B GB 202005029 A GB202005029 A GB 202005029A GB 2587445 B GB2587445 B GB 2587445B
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United Kingdom
Prior art keywords
implementing
neural network
variable accuracy
accuracy neural
variable
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.)
Active
Application number
GB2005029.0A
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GB2587445A (en
GB202005029D0 (en
Inventor
Laskaridis Stefanos
Venieris Stylianos
Kim Hyeji
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.)
Samsung Electronics Co Ltd
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Samsung Electronics 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 Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Publication of GB202005029D0 publication Critical patent/GB202005029D0/en
Priority to KR1020200066486A priority Critical patent/KR20210007829A/en
Priority to US16/923,447 priority patent/US20210012194A1/en
Priority to CN202080051012.0A priority patent/CN114556366A/en
Priority to EP20836673.2A priority patent/EP3948684A4/en
Priority to PCT/KR2020/008980 priority patent/WO2021006650A1/en
Publication of GB2587445A publication Critical patent/GB2587445A/en
Application granted granted Critical
Publication of GB2587445B publication Critical patent/GB2587445B/en
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    • 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
    • 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
    • G06N3/06—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
    • 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
GB2005029.0A 2019-07-11 2020-04-06 Method and System for Implementing a Variable Accuracy Neural Network Active GB2587445B (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
KR1020200066486A KR20210007829A (en) 2019-07-11 2020-06-02 Method and system for implementing a variable accuracy meural network
US16/923,447 US20210012194A1 (en) 2019-07-11 2020-07-08 Method and system for implementing a variable accuracy neural network
CN202080051012.0A CN114556366A (en) 2019-07-11 2020-07-09 Method and system for implementing variable precision neural networks
EP20836673.2A EP3948684A4 (en) 2019-07-11 2020-07-09 Method and system for implementing a variable accuracy neural network
PCT/KR2020/008980 WO2021006650A1 (en) 2019-07-11 2020-07-09 Method and system for implementing a variable accuracy neural network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GR20190100291 2019-07-11

Publications (3)

Publication Number Publication Date
GB202005029D0 GB202005029D0 (en) 2020-05-20
GB2587445A GB2587445A (en) 2021-03-31
GB2587445B true GB2587445B (en) 2022-09-28

Family

ID=70768963

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2005029.0A Active GB2587445B (en) 2019-07-11 2020-04-06 Method and System for Implementing a Variable Accuracy Neural Network

Country Status (2)

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KR (1) KR20210007829A (en)
GB (1) GB2587445B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111950545B (en) * 2020-07-23 2024-02-09 南京大学 Scene text detection method based on MSDNet and space division

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, IEEE, TEERAPITTAYANON SURAT ET AL, "BranchyNet: Fast inference via early exiting from deep neural networks", pages 2464-2469 *
ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 2018, EN LI ET AL, "Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy", *
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS, 2017, IEEE, TEERAPITTAYANON SURAT ET AL, "Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices", pages 328-339 *

Also Published As

Publication number Publication date
GB2587445A (en) 2021-03-31
GB202005029D0 (en) 2020-05-20
KR20210007829A (en) 2021-01-20

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