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This practical guide to 3D deep learning will help you learn everything you need to know about 3D computer vision models and how to incorporate them into your day-to-day work. The book covers top methods and frameworks to demonstrate how 3D data can be processed and help you gain the confidence to implement your own 3D deep learning models.

Produktbeschreibung
This practical guide to 3D deep learning will help you learn everything you need to know about 3D computer vision models and how to incorporate them into your day-to-day work. The book covers top methods and frameworks to demonstrate how 3D data can be processed and help you gain the confidence to implement your own 3D deep learning models.
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Autorenporträt
Xudong Ma is a Staff Machine Learning engineer with Grabango Inc. at Berkeley California. He was a Senior Machine Learning Engineer at Facebook(Meta) Oculus and worked closely with the 3D PyTorch Team on 3D facial tracking projects. He has many years of experience working on computer vision, machine learning and deep learning. He holds a Ph.D. in Electrical and Computer Engineering.