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

Descripción

This item is printed on demand - it takes 3-4 days longer - 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. 424 pp. Englisch.

N° de ref. del artículo 9783031946363

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Detalles bibliográficos

Título

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

Editor

Springer, Berlin, Springer Nature Switzerland, Springer

Fecha de publicación

2025

Idioma

Inglés

ISBN 10

3031946367

ISBN 13

9783031946363

Encuadernación

Buch

Estado

Neu

Dimensiones

235 mm an. × 155 al. × 35 l. 235 milímetros de ancho por 155 de alto por 35 de largo

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