DE112018004693T5 - Verbessern der effizienz eines neuronalen netzes - Google Patents

Verbessern der effizienz eines neuronalen netzes Download PDF

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DE112018004693T5
DE112018004693T5 DE112018004693.1T DE112018004693T DE112018004693T5 DE 112018004693 T5 DE112018004693 T5 DE 112018004693T5 DE 112018004693 T DE112018004693 T DE 112018004693T DE 112018004693 T5 DE112018004693 T5 DE 112018004693T5
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activation function
value
computer
training
output limit
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Zhuo Wang
Jungwook CHOI
Kailash Gopalakrishnan
Swagath Venkataramani
Charbel Sakr
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International Business Machines 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
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • 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
    • G06N3/048—Activation functions
    • 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
    • G06N3/08—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
    • G06N3/06—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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DE112018004693.1T 2017-10-24 2018-10-04 Verbessern der effizienz eines neuronalen netzes Pending DE112018004693T5 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US15/792,733 2017-10-24
US15/792,733 US11195096B2 (en) 2017-10-24 2017-10-24 Facilitating neural network efficiency
PCT/IB2018/057712 WO2019082005A1 (en) 2017-10-24 2018-10-04 FACILITATING THE EFFECTIVENESS OF ARTIFICIAL NEURONIC NETWORK

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US (1) US11195096B2 (https=)
JP (1) JP7163381B2 (https=)
CN (1) CN111226233A (https=)
DE (1) DE112018004693T5 (https=)
GB (1) GB2581728A (https=)
WO (1) WO2019082005A1 (https=)

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CN111226233A (zh) 2020-06-02
US11195096B2 (en) 2021-12-07
WO2019082005A1 (en) 2019-05-02
US20190122116A1 (en) 2019-04-25
GB202006969D0 (en) 2020-06-24
JP2021500654A (ja) 2021-01-07
GB2581728A (en) 2020-08-26
JP7163381B2 (ja) 2022-10-31

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