000 02309cam a22003378i 4500
999 _c4646
_d4646
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008 190821s2019 nju b 001 0 eng
010 _a 2019029946
020 _a9781119507383
_q(cloth)
020 _z9781119507390
_q(adobe pdf)
020 _z9781119507406
_q(epub)
040 _aLBSOR/DLC
_beng
_erda
_cDLC
042 _apcc
050 0 0 _aQA76.87
_b.Z4757 2019
082 0 0 _a006.3/2
_223
100 1 _aZheng, Nan,
_d1989-
_eauthor.
245 1 0 _aLearning in energy-efficient neuromorphic computing :
_balgorithm and architecture co-design /
_cNan Zheng, Pinaki Mazumder.
263 _a1911
300 _apages cm
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.
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"--
650 0 _aNeural networks (Computer science)
700 1 _aMazumder, Pinaki,
_eauthor.
776 0 8 _iOnline version:
_aZheng, Nan, 1989-.
_tLearning in energy-efficient neuromorphic computing.
_d[Hoboken, NJ] : Wiley-IEEE Press, [2019]
_z9781119507390
_w(DLC) 2019029947
856 _3Full-text here
_uhttps://box.skoltech.ru/index.php/apps/files/?dir=/e-books%20library/Learning%20in%20Energy-Efficient%20Neuromorphic%20Computing%3A%20Algorithm%20and%20Architecture%20Co-Design&fileid=8346496#pdfviewer
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_bcbc
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_d1
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_gy-gencatlg
942 _2lcc
_cBK