Deep learning and XAI techniques for anomaly detection : integrating the theory and practice of deep anomaly explainability

Deep learning and XAI techniques for anomaly detection integrating the theory and practice of deep anomaly explainability

Deep Learning and XAI Techniques for Anomaly Detection shows you how to evaluate and create explainable models, leading to increased interpretability and trust in model predictions with better performance. You'll explore the fundamentals of deep learning, anomaly detection, and XAI using practi...

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Detalles Bibliográficos
Otros Autores: Simon, Cher, author (author), Barr, Jeff, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing, Limited [2023]
Edición:1st ed
Materias:
Machine learning > Industrial applications.
Anomaly detection (Computer security)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009720309106719
Descripción
Sumario:Deep Learning and XAI Techniques for Anomaly Detection shows you how to evaluate and create explainable models, leading to increased interpretability and trust in model predictions with better performance. You'll explore the fundamentals of deep learning, anomaly detection, and XAI using practical examples and self-assessment questions.
Notas:Includes index.
Descripción Física:1 online resource (218 pages)
ISBN:9781804613375

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