|
" Learning in energy-efficient neuromorphic computing : "
Nan Zheng, Pinaki Mazumder.
| Document Type
|
:
|
BL
|
| Record Number
|
:
|
840488
|
| Main Entry
|
:
|
Zheng, Nan,1989-
|
| Title & Author
|
:
|
Learning in energy-efficient neuromorphic computing : : algorithm and architecture co-design /\ Nan Zheng, Pinaki Mazumder.
|
| Publication Statement
|
:
|
Hoboken, NJ :: Wiley-IEEE Press,, 2020.
|
| Page. NO
|
:
|
1 online resource (xx, 276 pages)
|
| ISBN
|
:
|
1119507367
|
|
|
:
|
: 1119507391
|
|
|
:
|
: 1119507405
|
|
|
:
|
: 9781119507369
|
|
|
:
|
: 9781119507390
|
|
|
:
|
: 9781119507406
|
|
|
:
|
1119507383
|
|
|
:
|
9781119507383
|
| Bibliographies/Indexes
|
:
|
Includes bibliographical references and index.
|
| Contents
|
:
|
Overview -- Fundamentals and learning of artificial neural networks -- Artificial neural networks in hardware -- Operational principles and learning in spiking neural networks -- Hardware implementations of spiking neural networks.
|
| Abstract
|
:
|
"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"--
|
| Subject
|
:
|
Neural networks (Computer science)
|
| Subject
|
:
|
COMPUTERS / Neural Networks.
|
| Subject
|
:
|
Neural networks (Computer science)
|
| Dewey Classification
|
:
|
006.3/2
|
| LC Classification
|
:
|
QA76.87.Z4757 2020
|
| Added Entry
|
:
|
Mazumder, Pinaki
|
| |