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|a Q325.73
|b .Z46 2022
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|a GWRE
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| 100 |
1 |
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|a Zhou, Xichuan,
|e author.
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| 245 |
1 |
0 |
|a Deep learning on edge computing devices :
|b design challenges of algorithm and architecture /
|c Xichuan Zhou [and three others].
|
| 264 |
|
1 |
|a Amsterdam ;
|a Cambridge, MA :
|b Elsevier,
|c [2022]
|
| 300 |
|
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|a 1 online resource (ix, 188 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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| 504 |
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|a Includes bibliographical references and index.
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| 588 |
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|a Description based on online resource; title from digital title page (viewed on March 28, 2022).
|
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0 |
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|a Part 1. Introduction ; 1. Introduction; ; Part 2. Theory and Algorithm ; 2. Model Inference on Edge Device; 3. Model Training on Edge Device; 4. Network Encoding and Quantization; ; Part 3. Architecture Optimization ; 5. DANoC: An Algorithm and Hardware Codesign Prototype; 6. Ensemble Spiking Networks on Edge Device; 7. SenseCamera: A Learning Based Multifunctional Smart Camera Prototype
|
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0 |
|a Deep learning (Machine learning)
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| 650 |
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0 |
|a Edge computing.
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| 650 |
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7 |
|a Deep learning (Machine learning)
|2 fast
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| 650 |
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7 |
|a Edge computing
|2 fast
|
| 700 |
1 |
|
|a Liu, Haijun,
|e author.
|
| 700 |
1 |
|
|a Shi, Cong,
|e author.
|
| 700 |
1 |
|
|a Liu, Ji,
|e author.
|
| 776 |
0 |
8 |
|i Print version:
|a Zhou, Xichuan
|t Deep Learning on Edge Computing Devices
|d San Diego : Elsevier,c2022
|z 9780323857833
|
| 776 |
0 |
8 |
|i Print version:
|a ZHOU, XICHUAN.
|t DEEP LEARNING ON EDGE COMPUTING DEVICES.
|d [S.l.] : ELSEVIER, 2022
|z 0323857833
|w (OCoLC)1268111913
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e Q325.73 .Z46 2022
|h Library of Congress classification
|i web
|
