BR112017022983A2 - incorporar informações de cima para baixo em redes neurais profundas via termo polarização - Google Patents

incorporar informações de cima para baixo em redes neurais profundas via termo polarização

Info

Publication number
BR112017022983A2
BR112017022983A2 BR112017022983A BR112017022983A BR112017022983A2 BR 112017022983 A2 BR112017022983 A2 BR 112017022983A2 BR 112017022983 A BR112017022983 A BR 112017022983A BR 112017022983 A BR112017022983 A BR 112017022983A BR 112017022983 A2 BR112017022983 A2 BR 112017022983A2
Authority
BR
Brazil
Prior art keywords
deep neural
neural networks
networks via
down information
polarization
Prior art date
Application number
BR112017022983A
Other languages
English (en)
Portuguese (pt)
Inventor
Blythe Towal Regan
Original Assignee
Qualcomm Inc
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 Qualcomm Inc filed Critical Qualcomm Inc
Publication of BR112017022983A2 publication Critical patent/BR112017022983A2/pt

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Image Analysis (AREA)
  • User Interface Of Digital Computer (AREA)
  • Image Processing (AREA)
BR112017022983A 2015-04-28 2016-03-11 incorporar informações de cima para baixo em redes neurais profundas via termo polarização BR112017022983A2 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562154097P 2015-04-28 2015-04-28
US14/848,288 US10325202B2 (en) 2015-04-28 2015-09-08 Incorporating top-down information in deep neural networks via the bias term
PCT/US2016/022158 WO2016175925A1 (en) 2015-04-28 2016-03-11 Incorporating top-down information in deep neural networks via the bias term

Publications (1)

Publication Number Publication Date
BR112017022983A2 true BR112017022983A2 (pt) 2018-07-24

Family

ID=55586459

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112017022983A BR112017022983A2 (pt) 2015-04-28 2016-03-11 incorporar informações de cima para baixo em redes neurais profundas via termo polarização

Country Status (8)

Country Link
US (1) US10325202B2 (enExample)
EP (1) EP3289527A1 (enExample)
JP (1) JP2018518740A (enExample)
KR (1) KR20170140228A (enExample)
CN (1) CN107533665A (enExample)
AU (1) AU2016256315A1 (enExample)
BR (1) BR112017022983A2 (enExample)
WO (1) WO2016175925A1 (enExample)

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US11842280B2 (en) 2017-05-05 2023-12-12 Nvidia Corporation Loss-scaling for deep neural network training with reduced precision
EP3631696B1 (en) 2017-06-02 2024-09-11 Nokia Technologies Oy Artificial neural network
US10108538B1 (en) * 2017-07-31 2018-10-23 Google Llc Accessing prologue and epilogue data
US11144815B2 (en) * 2017-12-04 2021-10-12 Optimum Semiconductor Technologies Inc. System and architecture of neural network accelerator
KR102153791B1 (ko) * 2017-12-20 2020-09-08 연세대학교 산학협력단 인공 신경망을 위한 디지털 뉴런, 인공 뉴런 및 이를 포함하는 추론 엔진
CA3036448A1 (en) * 2018-03-12 2019-09-12 Royal Bank Of Canada System and method for monitoring machine learning models
CN108977897B (zh) * 2018-06-07 2021-11-19 浙江天悟智能技术有限公司 基于局部内在可塑性回声状态网络的熔纺工艺控制方法
US20210350236A1 (en) * 2018-09-28 2021-11-11 National Technology & Engineering Solutions Of Sandia, Llc Neural network robustness via binary activation
KR102184655B1 (ko) * 2018-10-29 2020-11-30 에스케이텔레콤 주식회사 비대칭 tanh 활성 함수를 이용한 예측 성능의 개선
US11481667B2 (en) * 2019-01-24 2022-10-25 International Business Machines Corporation Classifier confidence as a means for identifying data drift
US20200242771A1 (en) * 2019-01-25 2020-07-30 Nvidia Corporation Semantic image synthesis for generating substantially photorealistic images using neural networks
DE102019217444A1 (de) * 2019-11-12 2021-05-12 Robert Bosch Gmbh Verfahren und Vorrichtung zur Klassifizierung digitaler Bilddaten
EP4066146A1 (en) * 2019-11-26 2022-10-05 Mythic, Inc. Systems and methods for implementing operational transformations for restricted computations of a mixed-signal integrated circuit
US12154032B2 (en) * 2020-02-04 2024-11-26 Dsp Group Ltd. Post-training control of the bias of neural networks
KR20210158697A (ko) * 2020-06-24 2021-12-31 삼성전자주식회사 뉴로모픽 장치 및 뉴로모픽 장치를 이용하여 뉴럴 네트워크를 구현하는 방법
US12216740B2 (en) 2021-01-08 2025-02-04 Bank Of America Corporation Data source evaluation platform for improved generation of supervised learning models
CN113473580B (zh) * 2021-05-14 2024-04-26 南京信息工程大学滨江学院 异构网络中基于深度学习的用户关联联合功率分配方法

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CN104200224A (zh) * 2014-08-28 2014-12-10 西北工业大学 基于深度卷积神经网络的无价值图像去除方法

Also Published As

Publication number Publication date
EP3289527A1 (en) 2018-03-07
JP2018518740A (ja) 2018-07-12
US20160321542A1 (en) 2016-11-03
AU2016256315A1 (en) 2017-10-05
US10325202B2 (en) 2019-06-18
WO2016175925A1 (en) 2016-11-03
KR20170140228A (ko) 2017-12-20
CN107533665A (zh) 2018-01-02

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Legal Events

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B06U Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]
B11B Dismissal acc. art. 36, par 1 of ipl - no reply within 90 days to fullfil the necessary requirements