Great TensorFlow Research Cloud projects from around the world (and how to start your own)
Who is this presentation for?
- ML researchers, students, tinkerers, dreamers, and anyone else who might be interested in playing with large amounts of computing power and sharing the results with the world
The TensorFlow Research Cloud (TFRC) has made more than 1,000 cloud TPUs available for free to machine learning researchers all over the world.
Zak Stone explores a small sample of the exciting work these researchers have accomplished with TFRC compute. And you’ll learn how to request TFRC access to accelerate your own research projects.
- Familiarity with deep learning
What you'll learn
- Understand that many of the most interesting breakthroughs in ML require huge amounts of compute, and the TensorFlow Research Cloud empowers researchers, students, and hobbyists from many different backgrounds by making large amounts of compute available for free
- Learn how to request your own free compute capacity, pick up some open source TPU code as a starting point, and share your projects with the world
Zak Stone is the product manager for Cloud TPUs on the Google Brain team and the founder of the TensorFlow Research Cloud (TFRC) at Google. He’s interested in making hardware acceleration for machine learning universally accessible and useful. Previously, Zak founded a mobile-focused deep learning startup that was acquired by Apple, and while at Apple, Zak contributed to the privacy-preserving on-device face identification technology in iOS 10 and macOS Sierra that was announced at the Apple Worldwide Developers Conference (WWDC) 2016. Zak holds a PhD in computer vision.
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