| 000 | 02936nam a2200505 i 4500 | ||
|---|---|---|---|
| 001 | 8889858 | ||
| 003 | IEEE | ||
| 005 | 20220712210021.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 191112s2019 nju ob 001 eng d | ||
| 020 |
_a9781119507369 _qelectronic bk. |
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| 020 |
_z9781119507383 _qprint |
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| 020 |
_z1119507367 _qelectronic bk. |
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| 020 | _z1119507383 | ||
| 024 | 7 |
_a10.1002/9781119507369 _2doi |
|
| 035 | _a(CaBNVSL)mat08889858 | ||
| 035 | _a(IDAMS)0b0000648b8e08c2 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aQA76.87 _b.Z4757 2019eb |
|
| 082 | 0 | 4 |
_a006.3/2 _223 |
| 100 | 1 |
_aZheng, Nan, _d1989- _eauthor. _929572 |
|
| 245 | 1 | 0 |
_aLearning in energy-efficient neuromorphic computing : _balgorithm and architecture co-design / _cNan Zheng, Pinaki Mazumder. |
| 264 | 1 |
_aHoboken, New Jersey : _bWiley-IEEE Press, _c[2019] |
|
| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2019] |
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| 300 | _a1 PDF (296 pages). | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aOverview -- Fundamentals and learning of artificial neural networks -- Artificial neural networks in hardware -- Operational principles and learning in SNNs -- Hardware implementations of spiking neural networks. | |
| 506 | _aRestricted to subscribers or individual electronic text purchasers. | ||
| 520 |
_a"This book focuses on how to build energy-efficient hardware for neural network with learning capabilities. One of the striking features of this book is that it strives to provide a co-design and co-optimization methodologies for building hardware neural networks that can learn. The book provides a complete picture from high-level algorithm to low-level implementation details. The book also covers many fundamentals and essentials in neural networks, e.g., deep learning, as well as hardware implementation of neural networks. This book will serve as a good resource for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities"-- _cProvided by publisher. |
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| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | 0 | _aPrint version record. | |
| 650 | 0 |
_aNeural networks (Computer science) _93414 |
|
| 655 | 4 |
_aElectronic books. _93294 |
|
| 700 | 1 |
_aMazumder, Pinaki, _eauthor. _929573 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _929574 |
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| 710 | 2 |
_aWiley, _epublisher. _929575 |
|
| 776 | 0 | 8 |
_iPrint version: _aZheng, Nan, 1989- _tLearning in energy-efficient neuromorphic computing. _dHoboken, NJ : Wiley-IEEE Press, [2019] _z9781119507383 _w(DLC) 2019029946 _w(OCoLC)1119074421 |
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8889858 |
| 942 | _cEBK | ||
| 999 |
_c74624 _d74624 |
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