PL3607435T3 - Sposoby i systemy wzmacniania głębokich sieci neuronowych do uczenia głębokiego - Google Patents

Sposoby i systemy wzmacniania głębokich sieci neuronowych do uczenia głębokiego

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Publication number
PL3607435T3
PL3607435T3 PL17904853.3T PL17904853T PL3607435T3 PL 3607435 T3 PL3607435 T3 PL 3607435T3 PL 17904853 T PL17904853 T PL 17904853T PL 3607435 T3 PL3607435 T3 PL 3607435T3
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PL
Poland
Prior art keywords
enhancement
systems
methods
deep
neural networks
Prior art date
Application number
PL17904853.3T
Other languages
English (en)
Inventor
Libin Wang
Yiwen Guo
Anbang YAO
Dongqi CAI
Lin Xu
Ping Hu
Shandong WANG
Wenhua Cheng
Yurong Chen
Original Assignee
Intel Corporation
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Application filed by Intel Corporation filed Critical Intel Corporation
Publication of PL3607435T3 publication Critical patent/PL3607435T3/pl

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    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • 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
    • G06N3/045—Combinations of networks
    • 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • 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
    • G06N3/06—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 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
    • G06N3/09—Supervised 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
    • G06N3/08—Learning methods
    • G06N3/096—Transfer 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
    • G06N3/08—Learning methods
    • G06N3/098—Distributed learning, e.g. federated learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Neurology (AREA)
  • Image Processing (AREA)
  • Image Generation (AREA)
PL17904853.3T 2017-04-07 2017-04-07 Sposoby i systemy wzmacniania głębokich sieci neuronowych do uczenia głębokiego PL3607435T3 (pl)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/079774 WO2018184224A1 (en) 2017-04-07 2017-04-07 Methods and systems for boosting deep neural networks for deep learning

Publications (1)

Publication Number Publication Date
PL3607435T3 true PL3607435T3 (pl) 2025-09-22

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Family Applications (1)

Application Number Title Priority Date Filing Date
PL17904853.3T PL3607435T3 (pl) 2017-04-07 2017-04-07 Sposoby i systemy wzmacniania głębokich sieci neuronowych do uczenia głębokiego

Country Status (6)

Country Link
US (1) US11790223B2 (pl)
EP (1) EP3607435B1 (pl)
CN (1) CN110582748A (pl)
ES (1) ES3037715T3 (pl)
PL (1) PL3607435T3 (pl)
WO (1) WO2018184224A1 (pl)

Families Citing this family (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019081781A1 (en) * 2017-10-27 2019-05-02 Deepmind Technologies Limited NEURAL GRAPH NETWORK SYSTEMS FOR GENERATING STRUCTURED REPRESENTATIONS OF OBJECTS
US11507846B2 (en) * 2018-03-26 2022-11-22 Nvidia Corporation Representing a neural network utilizing paths within the network to improve a performance of the neural network
DE102019106996A1 (de) 2018-03-26 2019-09-26 Nvidia Corporation Darstellen eines neuronalen netzwerks unter verwendung von pfaden innerhalb des netzwerks zum verbessern der leistung des neuronalen netzwerks
CN110163368B (zh) * 2019-04-18 2023-10-20 腾讯科技（深圳）有限公司 基于混合精度的深度学习模型训练方法、装置及系统
CN112395002B (zh) * 2019-08-14 2023-04-18 上海寒武纪信息科技有限公司 运算方法、装置、计算机设备和存储介质
CN110381468B (zh) * 2019-08-08 2023-04-07 广州小鹏汽车科技有限公司 一种车辆网络的配置方法及系统、车辆
CN110543645B (zh) * 2019-09-04 2023-04-07 网易有道信息技术（北京）有限公司 机器学习模型训练方法、介质、装置和计算设备
JP7256811B2 (ja) * 2019-10-12 2023-04-12 バイドゥドットコム タイムズ テクノロジー （ベイジン） カンパニー リミテッド アドバンストインタコネクト技術を利用してａｉトレーニングを加速するための方法及びシステム
CN112836714B (zh) * 2019-11-22 2024-05-10 杭州海康威视数字技术股份有限公司 一种智能模型的训练方法及装置
US20210192287A1 (en) * 2019-12-18 2021-06-24 Nvidia Corporation Master transform architecture for deep learning
WO2021147055A1 (en) * 2020-01-22 2021-07-29 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for video anomaly detection using multi-scale image frame prediction network
US11443142B2 (en) * 2020-02-14 2022-09-13 Samsung Electronics Co., Ltd. In-storage-based data processing using machine learning
US20210287096A1 (en) * 2020-03-13 2021-09-16 Nvidia Corporation Microtraining for iterative few-shot refinement of a neural network
US20230214665A1 (en) * 2020-04-17 2023-07-06 Siemens Aktiengesellschaft A neural network system for distributed boosting for a programmable logic controller with a plurality of processing units
US20210374518A1 (en) * 2020-05-27 2021-12-02 Nvidia Corporation Techniques for modifying and training a neural network
US20220012596A1 (en) * 2020-07-09 2022-01-13 Nvidia Corporation Attribute-aware image generation using neural networks
US20220051093A1 (en) * 2020-08-14 2022-02-17 Nvidia Corporation Techniques for training and inference using multiple processor resources
US20220058466A1 (en) * 2020-08-20 2022-02-24 Nvidia Corporation Optimized neural network generation
US20220076133A1 (en) * 2020-09-04 2022-03-10 Nvidia Corporation Global federated training for neural networks
WO2022062502A1 (zh) * 2020-09-23 2022-03-31 新智数字科技有限公司 预测方法、装置、可读介质及电子设备
CN112116012B (zh) * 2020-09-23 2024-03-19 大连海事大学 一种基于深度学习的手指静脉即时注册、识别方法及系统
US20220138903A1 (en) * 2020-11-04 2022-05-05 Nvidia Corporation Upsampling an image using one or more neural networks
US11948056B2 (en) 2020-12-08 2024-04-02 International Business Machines Corporation Communication-efficient data parallel ensemble boosting
WO2022133194A1 (en) * 2020-12-17 2022-06-23 Trustees Of Tufts College Deep perceptual image enhancement
CN112749264A (zh) * 2020-12-30 2021-05-04 平安科技（深圳）有限公司 基于智能机器人的问题分发方法、装置、电子设备及存储介质
CN112907510B (zh) * 2021-01-15 2023-07-07 中国人民解放军国防科技大学 一种表面缺陷检测方法
US11828498B2 (en) 2021-07-16 2023-11-28 Toyota Motor Engineering & Manufacturing North America, Inc. Multi mode heat transfer systems
US12282987B2 (en) * 2022-11-08 2025-04-22 Adobe Inc. Generating image mattes without trimap segmentations via a multi-branch neural network
CN115809092B (zh) * 2023-02-13 2023-04-28 湖南大学 基于mt3000异构处理器的深度学习计算库实现方法
US20240273232A1 (en) * 2023-02-15 2024-08-15 BeeKeeperAI, Inc. Systems and methods for measuring data exfiltration vulnerability and dynamic differential privacy in a zero-trust computing environment
CN116309710B (zh) * 2023-02-27 2024-07-09 荣耀终端有限公司 目标追踪方法和电子设备

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7890443B2 (en) * 2007-07-13 2011-02-15 Microsoft Corporation Learning classifiers using combined boosting and weight trimming
US9607246B2 (en) * 2012-07-30 2017-03-28 The Trustees Of Columbia University In The City Of New York High accuracy learning by boosting weak learners
US9811775B2 (en) * 2012-12-24 2017-11-07 Google Inc. Parallelizing neural networks during training
US9971959B2 (en) * 2013-03-15 2018-05-15 Nvidia Corporation Performing object detection operations via a graphics processing unit
CN103544705B (zh) * 2013-10-25 2016-03-02 华南理工大学 一种基于深度卷积神经网络的图像质量测试方法
US20160026912A1 (en) * 2014-07-22 2016-01-28 Intel Corporation Weight-shifting mechanism for convolutional neural networks
US10095770B2 (en) * 2015-09-22 2018-10-09 Ebay Inc. Miscategorized outlier detection using unsupervised SLM-GBM approach and structured data
CN106548210B (zh) * 2016-10-31 2021-02-05 腾讯科技（深圳）有限公司 基于机器学习模型训练的信贷用户分类方法及装置
US20180246659A1 (en) * 2017-02-28 2018-08-30 Hewlett Packard Enterprise Development Lp Data blocks migration

Also Published As

Publication number Publication date
EP3607435A4 (en) 2020-11-25
CN110582748A (zh) 2019-12-17
US20200026999A1 (en) 2020-01-23
EP3607435B1 (en) 2025-05-14
EP3607435A1 (en) 2020-02-12
US11790223B2 (en) 2023-10-17
ES3037715T3 (en) 2025-10-06
WO2018184224A1 (en) 2018-10-11

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