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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations
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Computational Methods for Deep Learning: Theory, Algorithms, and Implementations Hardcover -

by Wei Qi Yan


Details

  • Title Computational Methods for Deep Learning: Theory, Algorithms, and Implementations
  • Author Wei Qi Yan
  • Binding Hardcover
  • Pages 210
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • ISBN 9789819948222 / 9819948223

About the author

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

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Computational Methods for Deep Learning

by Wei Qi Yan

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