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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations Capa dura - 2023

por Wei Qi Yan

Descrição da contracapa

The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book.

The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. 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. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

Detalhes

  • Título Computational Methods for Deep Learning: Theory, Algorithms, and Implementations
  • Autor Wei Qi Yan
  • Encadernação Capa dura
  • Páginas 222
  • Volumes 1
  • Idioma ENG
  • Editorial Springer
  • Data de publicação 2023-09-16
  • Ilustrado Sim
  • Features Illustrated
  • ISBN 9789819948222 / 9819948223
  • Peso 1.14 libras (0.52 kg)
  • Dimensão 9.21 x 6.14 x 0.56 in. (23.39 x 15.60 x 1.42 cm)

Sobre o 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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Computational Methods for Deep Learning

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Computational Methods for Deep Learning

por Wei Qi Yan

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Computational Methods for Deep Learning - Theoretic, Practice and Applications: Theory, Algorithms, and Implementations

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Springer-Nature New York Inc, 2023. Hardcover. New. 2nd edition. 242 pages. 9.25x6.10x9.21 inches.
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COMPUTATIONAL METHODS FOR DEEP LEARNING

por WEI QI YAN

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USA Edition . Brand New. New. Ship within 24hrs. Satisfaction 100% guaranteed. I Ships from multiple Locations I ""Special Note"" We do not Provide Service On APO & PO BOX Box addresses. Delivery with In 7-14 working Day Only. This Books ship from the United Kingdom & USA other locations in India depending on your location and availability.
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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations (Texts in Computer Science)

por Yan, Wei Qi

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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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