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Computational Methods for Deep Learning

Theory, Algorithms, and Implementations
BuchGebunden
Verkaufsrang30738in
CHF115.00
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Beschreibung

Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning.
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Details

ISBN/GTIN978-981-99-4822-2
ProduktartBuch
EinbandGebunden
VerlagSpringer
Erscheinungsdatum16.09.2023
Auflage2nd ed. 2023
ReiheTexts in Computer Science
Seiten222 Seiten
SpracheEnglisch
MasseBreite 160 mm, Höhe 241 mm, Dicke 19 mm
Gewicht535 g
Artikel-Nr.47659416
KatalogBuchzentrum
Datenquelle-Nr.44858251
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Autor

Wei Qi Yan is Director of Institute of Robotics & Vision (IoRV) at Auckland University of Technology (AUT) in New Zealand (NZ). Dr. Yan's research interests encompass deep learning, intelligent surveillance, computer vision, and multimedia computing. His expertise lies in computational mathematics, applied mathematics, computer science, and computer engineering. He holds the positions of Chief Technology Officer (CTO) of Screen 2 Script Limited (NZ) and Director and Chief Scientist of the Joint Laboratory between AUT and Shandong Academy of Sciences China (NZ). Dr. Yan also serves as Chair of ACM Multimedia Chapter of New Zealand and is Member of the ACM. Additionally, he is Senior Member of the IEEE and TC Member of the IEEE. In 2022, Dr. Yan was recognized as one of the world´s top 2% cited scientists by Stanford University.

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