2 options
Energy Efficiency and Robustness of Advanced Machine Learning Architectures : A Cross-Layer Approach / Alberto Marchisio and Muhammad Shafique.
- Format:
- Book
- Author/Creator:
- Marchisio, Alberto, author.
- Shafique, Muhammad, author.
- Series:
- Chapman & Hall/CRC artificial intelligence and robotics series.
- Chapman and Hall/CRC Artificial Intelligence and Robotics Series
- Language:
- English
- Subjects (All):
- Machine learning.
- Physical Description:
- 1 online resource (361 pages)
- Edition:
- First edition.
- Place of Publication:
- Boca Raton, FL : CRC Press, [2025]
- Summary:
- This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks.
- Contents:
- Hardware and software optimizations for capsule networks
- Adversarial security threats for DNNs and CapsNets
- Inetration and of multiple and design objectives into NAS frameworks for CapsNets and DNNs
- Efficient optimizations for spiking neural networks on neuromorphic hardware
- Security threats for SNNs on discrete and event-based data.
- Notes:
- Includes bibliographical references and index.
- CC BY-NC-ND
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- ISBN:
- 9781040165034
- 1040165036
- 9781003530459
- 1003530451
- 9781040165065
- 1040165060
- OCLC:
- 1456117011
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.