Classification applications deep learning von laith abualigah (7 Ergebnisse)

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies¿ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Classification Applications with Deep Learning and Machine Learning Technologies | Laith Abualigah | Taschenbuch | viii | Englisch | 2023 | Springer | EAN 9783031175787 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies' image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.…

Paperback. Zustand: Brand New. 296 pages. 9.25x6.10x0.62 inches. In Stock.

Hardcover. Zustand: Brand New. 296 pages. 9.25x6.10x0.75 inches. In Stock.