EP3938965A4 - Vorrichtung, verfahren und computerprogramm zum trainieren eines neuronalen netzes - Google Patents

Vorrichtung, verfahren und computerprogramm zum trainieren eines neuronalen netzes Download PDF

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Publication number
EP3938965A4
EP3938965A4 EP20769523.0A EP20769523A EP3938965A4 EP 3938965 A4 EP3938965 A4 EP 3938965A4 EP 20769523 A EP20769523 A EP 20769523A EP 3938965 A4 EP3938965 A4 EP 3938965A4
Authority
EP
European Patent Office
Prior art keywords
training
computer program
neural network
neural
network
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.)
Pending
Application number
EP20769523.0A
Other languages
English (en)
French (fr)
Other versions
EP3938965A1 (de
Inventor
Caglar AYTEKIN
Francesco Cricri
Miika Tupala
Xingyang NI
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.)
Nokia Technologies Oy
Original Assignee
Nokia Technologies Oy
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 Nokia Technologies Oy filed Critical Nokia Technologies Oy
Publication of EP3938965A1 publication Critical patent/EP3938965A1/de
Publication of EP3938965A4 publication Critical patent/EP3938965A4/de
Pending legal-status Critical Current

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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
    • G06N3/084Backpropagation, e.g. using gradient descent
    • 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/46Embedding additional information in the video signal during the compression process
    • H04N19/463Embedding additional information in the video signal during the compression process by compressing encoding parameters before transmission

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
EP20769523.0A 2019-03-14 2020-03-04 Vorrichtung, verfahren und computerprogramm zum trainieren eines neuronalen netzes Pending EP3938965A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20195190 2019-03-14
PCT/FI2020/050137 WO2020183059A1 (en) 2019-03-14 2020-03-04 An apparatus, a method and a computer program for training a neural network

Publications (2)

Publication Number Publication Date
EP3938965A1 EP3938965A1 (de) 2022-01-19
EP3938965A4 true EP3938965A4 (de) 2022-12-28

Family

ID=72427203

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20769523.0A Pending EP3938965A4 (de) 2019-03-14 2020-03-04 Vorrichtung, verfahren und computerprogramm zum trainieren eines neuronalen netzes

Country Status (2)

Country Link
EP (1) EP3938965A4 (de)
WO (1) WO2020183059A1 (de)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112464760A (zh) * 2020-11-16 2021-03-09 北京明略软件系统有限公司 一种目标识别模型的训练方法和装置
CN112581366B (zh) * 2020-11-30 2022-05-20 黑龙江大学 一种便携式图像超分辨系统及系统构建方法
WO2022126439A1 (zh) * 2020-12-16 2022-06-23 华为技术有限公司 模型协作蒸馏训练的方法及装置和设备、可读存储介质
CN112766307B (zh) * 2020-12-25 2024-08-13 北京迈格威科技有限公司 图像处理方法、装置、电子设备及可读存储介质
CN112785578A (zh) * 2021-01-26 2021-05-11 汕头大学 一种基于u型编码解码器神经网络的道路裂缝检测方法及系统
US12020455B2 (en) * 2021-03-10 2024-06-25 Intrinsic Innovation Llc Systems and methods for high dynamic range image reconstruction
CN113098804B (zh) * 2021-03-29 2022-08-23 东南大学 一种基于深度学习与熵编码的信道状态信息反馈方法
WO2024075097A1 (en) * 2022-11-14 2024-04-11 Lenovo (Singapore) Pte. Ltd. Efficiently transmitting a set of samples to another device
WO2024166040A1 (en) * 2023-02-10 2024-08-15 Lenovo (Singapore) Pte. Ltd. Method and system for transmission of samples

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180322388A1 (en) * 2017-05-03 2018-11-08 Virginia Tech Intellectual Properties, Inc. Learning and deployment of adaptive wireless communications

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016199330A1 (ja) * 2015-06-12 2016-12-15 パナソニックIpマネジメント株式会社 画像符号化方法、画像復号方法、画像符号化装置および画像復号装置

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180322388A1 (en) * 2017-05-03 2018-11-08 Virginia Tech Intellectual Properties, Inc. Learning and deployment of adaptive wireless communications

Also Published As

Publication number Publication date
EP3938965A1 (de) 2022-01-19
WO2020183059A1 (en) 2020-09-17

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