Machine learning for edge computing frameworks, patterns and best practices

"This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI...

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Detalles Bibliográficos
Otros Autores: Kukreja, Vinay, editor (editor), Gandomani, Taghi Javdani, 1975- editor, Singh, Amitoj, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, FL ; Abingdon, Oxon : CRC Press [2023]
Edición:First edition
Colección:Edge AI in future computing.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809023606719
Descripción
Sumario:"This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge"--
Notas:Includes index.
Descripción Física:1 online resource (200 pages)
ISBN:9781003143468
9781000609240
9781000609233