Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

Accelerating research to production with PyTorch 1.0

Joseph Spisak (Facebook)
11:05am-11:45am Friday, September 7, 2018
Implementing AI
 Location: Imperial A
Secondary topics:  Computer Vision, Deep Learning tools
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Who is this presentation for?

  • Machine learning scientists, machine learning engineers, and data scientists

Prerequisite knowledge

  • Familiarity with deep learning
  • Experience using open source deep learning projects

What you'll learn

  • Explore the progress and momentum of PyTorch in the community
  • Understand PyTorch's technical details and its forward-looking vision and roadmap

Description

Facebook’s strength in AI innovation comes from its ability to quickly bring cutting-edge research into large-scale production using a multifaceted toolset. Joseph Spisak explains how PyTorch 1.0 helps to accelerate the path from research to production by making AI development more seamless and interoperable. Joseph shares the latest on PyTorch 1.0 and covers recent additions to the ecosystem, including libraries for vision, language, and more as well as tools for accelerating model performance.

Photo of Joseph Spisak

Joseph Spisak

Facebook

Joseph Spisak is the product manager for Facebook’s AI open source platform, including PyTorch and ONNX. Previously, he led AI partnerships and deep learning products at Amazon Web Services, where he and his team were dedicated to building tools and solutions to help democratize deep learning for the developer community and ultimately accelerate the development of deep learning-based applications. Joseph holds a bachelor’s degree in electrical engineering from Michigan State University and an MBA and MS in finance from the University of Denver. He’s a proud graduate of the Entrepreneurial and Innovation Program at Stanford University Graduate School of Business.