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Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

NVIDIA Deep Learning Institute: AI for computer vision and digital content creation (Day 2)

Max Katz (NVIDIA), Eric Levin (NVIDIA)
Location: Nob Hill 4/5
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The NVIDIA Deep Learning Institute (DLI) will walk you through the fundamentals of deep learning – training neural networks and using results to improve performance and capabilities. Once you’ve learned the basics, you’ll apply deep learning to digital content creation and game development to start creating digital asset with deep learning. This two-day training is designed for developers, data scientists, and researchers – no prior deep learning experience required.


Day 1: Fundamentals of Deep Learning for Computer Vision

  • Implementing common deep learning workflows, such as image classification and object detection
  • Experimenting with data, training parameters, network structure, and other strategies to increase performance and capability
  • Deploying your neural networks to start solving real-world problems

Day 2: Deep Learning for Digital Content Creation Using GANs and Autoencoders

  • Training a Generative Adversarial Network (GAN) to generate images
  • Exploring the architectural innovations and training techniques used to make arbitrary video style transfer
  • Training your own denoiser for rendered images
Photo of Max Katz

Max Katz


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.

Photo of Eric Levin

Eric Levin


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.