Deep Learning Paperback by Andrew Glassner

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Deep Learning Paperback by Andrew Glassner

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Product Details

  • Publisher: No Starch Press (2021-06-29)
  • Language: English
  • Paperback: 768 pages
  • ISBN-13: 9781718500723
  • Item Weight: 1672.65 grams
  • Dimensions: 9.25 x 7.06 x 1.34 cm

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About the Author

Andrew Glassner is a research scientist specializing in computer graphics and deep learning. He is currently a Senior Research Scientist at Weta Digital, where he works on integrating deep learning with the production of world-class visual effects for films and television. He has previously worked as a researcher at labs such as the IBM Watson Lab, Xerox PARC, and Microsoft Research. He was Editor in Chief of ACM TOG, the premier research journal in graphics, and Technical Papers Chair for SIGGRAPH, the premier conference in graphics. He's written or edited a dozen technical books on computer graphics, ranging from the textbook Principles of Digital Image Synthesis to the popular Graphics Gems series, offering practical algorithms for working programmers. Glassner has a PhD in Computer Science from UNC-Chapel Hill.


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