PL3607493T3 - Sposoby i systemy budżetowego i uproszczonego szkolenia głębokich sieci neuronowych - Google Patents

Sposoby i systemy budżetowego i uproszczonego szkolenia głębokich sieci neuronowych

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Publication number
PL3607493T3
PL3607493T3 PL17904518.2T PL17904518T PL3607493T3 PL 3607493 T3 PL3607493 T3 PL 3607493T3 PL 17904518 T PL17904518 T PL 17904518T PL 3607493 T3 PL3607493 T3 PL 3607493T3
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budgeted
systems
methods
neural networks
deep neural
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PL17904518.2T
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Yiwen Guo
Yuqing Hou
Anbang YAO
Dongqi CAI
Libin Wang
Lin Xu
Ping Hu
Shandong WANG
Wenhua Cheng
Yurong Chen
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Intel Corporation
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    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
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    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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    • G06N3/045—Combinations of networks
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • G06N3/092—Reinforcement learning
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local 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
    • G06V10/443—Local 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
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/955—Hardware or software architectures specially adapted for image or video understanding using specific electronic processors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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PL17904518.2T 2017-04-07 2017-04-07 Sposoby i systemy budżetowego i uproszczonego szkolenia głębokich sieci neuronowych PL3607493T3 (pl)

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PCT/CN2017/079719 WO2018184204A1 (en) 2017-04-07 2017-04-07 Methods and systems for budgeted and simplified training of deep neural networks

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US (3) US11263490B2 (pl)
EP (1) EP3607493B1 (pl)
CN (1) CN110383292B (pl)
ES (1) ES3052990T3 (pl)
PL (1) PL3607493T3 (pl)
WO (1) WO2018184204A1 (pl)

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US20220222492A1 (en) 2022-07-14
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US12217163B2 (en) 2025-02-04
US11803739B2 (en) 2023-10-31
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