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Yang et al., 2018 - Google Patents

Deploy large-scale deep neural networks in resource constrained iot devices with local quantization region

Yang et al., 2018

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Document ID
9226870727571548690
Author
Yang Y
Chen A
Chen X
Ji J
Chen Z
Dai Y
Publication year
Publication venue
arXiv preprint arXiv:1805.09473

External Links

Snippet

Implementing large-scale deep neural networks with high computational complexity on low- cost IoT devices may inevitably be constrained by limited computation resource, making the devices hard to respond in real-time. This disjunction makes the state-of-art deep learning …
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Classifications

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    • G06N3/02—Computer systems based on biological models using neural network models
    • 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; CALCULATING; COUNTING
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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