Explainable Deep Learning AI: Methods and Challenges
Language: English
Published by Academic Press, 2023
- Softcover
- New

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- Title
- Explainable Deep Learning AI: Methods and Challenges
- Publisher
- Academic Press
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323960987
- ISBN 13
- 9780323960984
Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI – deep learning, which become the necessary condition in various applications of artificial intelligence.
The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented.
- Provides an overview of main approaches to Explainable Artificial Intelligence (XAI) in the Deep Learning realm, including the most popular techniques and their use, concluding with challenges and exciting future directions of XAI
- Explores the latest developments in general XAI methods for Deep Learning
- Explains how XAI for Deep Learning is applied to various domains like images, medicine and natural language processing
- Provides an overview of how XAI systems are tested and evaluated, specially with real users, a critical need in XAI
"Synopsis" may belong to another edition of this title.
About the Author
Since 2009 he’s been an Associate Professor in the Computer Science Department of the IUT ("Technical School"), University of Bordeaux (Talence), France. He is also deputy director of the BKB ("Bench to Knowledge and Beyond") team of LaBRI.
Dragutin Petkovic is Professor in the Computer Science department at San Francisco State University, USA.
Senior researcher at CNRS, leader of the MRIM group. Works at the Laboratory of Informatics of Grenoble and Multimedia Information Indexing and Retrieval Group.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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AbeBooks seller since March 25, 2015
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