CN115843365A - 神经网络处理装置、信息处理装置、信息处理系统、电子设备、神经网络处理方法和程序 - Google Patents

神经网络处理装置、信息处理装置、信息处理系统、电子设备、神经网络处理方法和程序 Download PDF

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CN115843365A
CN115843365A CN202180049508.9A CN202180049508A CN115843365A CN 115843365 A CN115843365 A CN 115843365A CN 202180049508 A CN202180049508 A CN 202180049508A CN 115843365 A CN115843365 A CN 115843365A
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高木聪
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Sony Group Corp
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Sony Group Corp
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    • 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/15—Correlation function computation including computation of convolution operations
    • G06F17/153—Multidimensional correlation or convolution
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0495—Quantised networks; Sparse networks; Compressed 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
    • G06N3/06—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

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  • Pure & Applied Mathematics (AREA)
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  • Artificial Intelligence (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Compression, Expansion, Code Conversion, And Decoders (AREA)
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CN202180049508.9A 2020-07-17 2021-07-09 神经网络处理装置、信息处理装置、信息处理系统、电子设备、神经网络处理方法和程序 Withdrawn CN115843365A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2020123312 2020-07-17
JP2020-123312 2020-07-17
PCT/JP2021/025989 WO2022014500A1 (ja) 2020-07-17 2021-07-09 ニューラルネットワーク処理装置、情報処理装置、情報処理システム、電子機器、ニューラルネットワーク処理方法およびプログラム

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CN115843365A true CN115843365A (zh) 2023-03-24

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US (1) US20230267310A1 (enExample)
EP (1) EP4184392A4 (enExample)
JP (1) JPWO2022014500A1 (enExample)
KR (1) KR20230038509A (enExample)
CN (1) CN115843365A (enExample)
WO (1) WO2022014500A1 (enExample)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023128263A (ja) * 2022-03-03 2023-09-14 ソニーグループ株式会社 情報処理装置及び情報処理方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015079946A1 (ja) 2013-11-29 2015-06-04 ソニー株式会社 周波数帯域拡大装置および方法、並びにプログラム
US10891538B2 (en) * 2016-08-11 2021-01-12 Nvidia Corporation Sparse convolutional neural network accelerator
CN107239823A (zh) * 2016-08-12 2017-10-10 北京深鉴科技有限公司 一种用于实现稀疏神经网络的装置和方法
US10360163B2 (en) * 2016-10-27 2019-07-23 Google Llc Exploiting input data sparsity in neural network compute units
US10175980B2 (en) * 2016-10-27 2019-01-08 Google Llc Neural network compute tile
US10795836B2 (en) * 2017-04-17 2020-10-06 Microsoft Technology Licensing, Llc Data processing performance enhancement for neural networks using a virtualized data iterator
US20180330235A1 (en) * 2017-05-15 2018-11-15 National Taiwan University Apparatus and Method of Using Dual Indexing in Input Neurons and Corresponding Weights of Sparse Neural Network
US11481218B2 (en) * 2017-08-02 2022-10-25 Intel Corporation System and method enabling one-hot neural networks on a machine learning compute platform
WO2019053835A1 (ja) * 2017-09-14 2019-03-21 三菱電機株式会社 演算回路、演算方法、およびプログラム
US20210150322A1 (en) * 2018-01-23 2021-05-20 Sony Corporation Neural network processing apparatus, neural network processing method, and program
US11966835B2 (en) * 2018-06-05 2024-04-23 Nvidia Corp. Deep neural network accelerator with fine-grained parallelism discovery
US10644721B2 (en) * 2018-06-11 2020-05-05 Tenstorrent Inc. Processing core data compression and storage system
JP7340926B2 (ja) * 2018-12-14 2023-09-08 日本光電工業株式会社 生体情報処理装置、生体情報センサ及び生体情報システム
US11625584B2 (en) * 2019-06-17 2023-04-11 Intel Corporation Reconfigurable memory compression techniques for deep neural networks

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EP4184392A1 (en) 2023-05-24
US20230267310A1 (en) 2023-08-24
JPWO2022014500A1 (enExample) 2022-01-20
WO2022014500A1 (ja) 2022-01-20
KR20230038509A (ko) 2023-03-20
EP4184392A4 (en) 2024-01-10

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