Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

Language: English

Published by Springer, Palgrave Macmillan Sep 2025, 2025

3031946367 / 9783031946363

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This item is printed on demand - Print on Demand Titel. Neuware -This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how distributed deep learning methodologies can be effectively combined with explainable AI to enhance transparency in Industry 4.0 applications. In recent years, neural networks and other deep learning models have produced remarkable outcomes in a variety of fields, including image recognition, natural language processing, and decision-making. Concerns have been raised regarding the transparency and interpretability of these models as a result of their increasing intricacy. The demand for methodologies and approaches associated with explainable artificial intelligence (XAI) has consequently increased. The primary aim of XAI is to enhance the transparency and comprehensibility of deep learning model decision-making processes for stakeholders, irrespective of their technical expertise.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 432 pp. Englisch.

Seller Inventory # 9783031946363

Title
Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0
Author
Lalitha Krishnasamy
Publisher
Springer, Palgrave Macmillan Sep 2025
Publication year
2025
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3031946367
ISBN 13
9783031946363
Item weight
887 grams
Dimensions
241x160x28 mm

buchversandmimpf2000

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