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Python Programming: The Easiest Python Crash Course to go Deep Through the Main Application as Web Development, Data Analysis and Data Science Including Machine Learning (Computer Science)
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Python Programming: The Easiest Python Crash Course to Go Deep Through the Main Applications as Web Development, Data Analysis, and Data Science Including Machine Learning (Computer Science)
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Python Programming: The Easiest Python Crash Course to go Deep Through the Main Application as Web Development, Data Analysis and Data Science Including Machine Learning (Computer Science)
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Development and Analysis of Deep Learning Architectures.
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Add to basketXI, 292 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 867. Sprache: Englisch.
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Python Programming The Easiest Python Crash Course to go Deep Through the Main Application as Web Development, Data Analysis and Data Science Including Machine Learning 1 Computer Science
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Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence, 867)
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Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence)
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Development and Analysis of Deep Learning Architectures (Studies in Computational Intelligence, 867)
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Development and Analysis of Deep Learning Architectures
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Development and Analysis of Deep Learning Architectures
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Development and Analysis of Deep Learning Architectures
Published by Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10: 3030317668 ISBN 13: 9783030317669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch.
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Development and Analysis of Deep Learning Architectures
Published by Springer International Publishing, 2020
ISBN 10: 3030317668 ISBN 13: 9783030317669
Language: English
US$ 205.54
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.
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Development and Analysis of Deep Learning Architectures
Published by Springer International Publishing, 2019
ISBN 10: 3030317633 ISBN 13: 9783030317638
Language: English
US$ 205.54
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.
