Learning in energy-efficient neuromorphic computing : (Record no. 69145)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02585nam a2200445Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1125226233 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203533.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191029s2019 nju ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119507369 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119507367 |
| -- | (electronic bk.) |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3/2 |
| 100 1# - AUTHOR NAME | |
| Author | Zheng, Nan, |
| 245 10 - TITLE STATEMENT | |
| Title | Learning in energy-efficient neuromorphic computing : |
| Sub Title | algorithm and architecture co-design / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Overview -- 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 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 700 1# - AUTHOR 2 | |
| Author 2 | Mazumder, Pinaki, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119507369 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ : |
| -- | Wiley-IEEE Press, |
| -- | [2019] |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 0# - | |
| -- | Print version record. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| -- | (OCoLC)fst01036260 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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