Max Katz and Eric Levin walk you through the fundamentals of deep learning, from training neural networks to using results to improve performance and capabilities. You’ll then apply your newfound knowledge to digital content creation and game development, as you create digital assets with deep learning.
Day 1: Fundamentals of deep learning for computer vision
Day 2: Deep learning for digital content creation using GANs and auto-encoders
Max Katz is a solutions architect at NVIDIA, where he supports the US Department of Energy in deploying GPU-accelerated supercomputers and provides assistance to the scientific user community on the use of these systems. His background is in computational astrophysics, a field he still actively does research in. Max holds a PhD in physics from Stony Brook University and a BS and MS in physics from Rensselaer Polytechnic Institute.
Eric Levin is a virtual reality developer at NVIDIA, where he works on projects ranging from meditation and anxiety relief for hospitalized pediatric patients and a learn-to-DJ app to social VR dancing and painting experiences. He’s fascinated by the vast potential of the creations that will emerge and evolve as a result of humans and AIs playing and working in partnership together ever more intimately and gracefully.
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