Explainable Deep Learning AI : Methods and Challenges
Book Details
Format
Paperback / Softback
ISBN-10
0323960987
ISBN-13
9780323960984
Publisher
Elsevier Science & Technology
Imprint
Academic Press Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Feb 24th, 2023
Print length
346 Pages
Weight
698 grams
Dimensions
18.90 x 23.40 x 2.30 cms
Product Classification:
Artificial intelligenceExpert systems / knowledge-based systemsMachine learning
Ksh 18,000.00
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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.
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