Learning in energy-efficient neuromorphic computing : algorithm and architecture co-design /
"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 provid...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
Wiley-IEEE Press,
2020.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "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"-- |
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| Physical Description: | 1 online resource (xx, 276 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 1119507391 9781119507369 1119507367 9781119507406 1119507405 9781119507390 |