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 |
Table of 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.