ISBN: 9781041046875 - explainable ai: building trustworthy deep learning systems (prospects in smart technologies) (2 Ergebnisse)

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  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1041046871 / 9781041046875

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    Zustand: New. Dr. D. Jeya Mala is currently a professor in the School of Computer Science and Engineering (SCOPE), VelloreInstitute of Technology, Chennai, Tamil Nadu, India. She has more than 24 years of teaching and researchexperience and 4 .

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd Okt 2026, 2026

    1041046871 / 9781041046875

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    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Neuware - With the increasing use of Deep Learning systems across various industries, there is a growing need to make their decision-making processes more understandable and transparent. Regulatory requirements now demand clarity, and users and stakeholders want to know how AI systems work. This textbook addresses these needs by providing a detailed guide on integrating Explainable AI (XAI) into the Deep Learning Operations (DLOps) pipeline. By doing so, organizations can implement Continuous Integration (CI) and Continuous Deployment (CD) practices effectively.Explainable AI: Building Trustworthy Deep Learning Systems focuses on how to incorporate XAI methods, tools, and techniques to clarify Machine Learning decisions. It explores applications in fields such as healthcare, defense, human activity recognition, and object identification. The book offers practical advice on embedding XAI tools throughout the lifecycle of Deep Learning systems, covering topics such as Explainability and Interpretability, Deep Learning Operations (DLOps), and Machine Learning Operations (MLOps). It also includes real-world examples, challenges, and solutions.Researchers working in the area of Trustworthy AI, Responsible AI, and Explainable AI can use this book as a primary source as it contains code implementations with metrics calculations in detail. Moreover, professionals in IT indsutries applying AI in software development such as DevOps and Deep Learning architecture development with XAI integrations in systems engineering and industrial engineering will find it a highly valuable development guide.For those adopting the textbook for courses PowerPoint slides are available.…