Making Open Work
May 8–9, 2017: Training & Tutorials
May 10–11, 2017: Conference
Austin, TX

Schedule: TensorFlow sessions

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9:00am - 5:00pm Monday, May 8 & Tuesday, May 9
Location: Meeting Room 7
Level: Intermediate
Tom Hope (Independent), Itay Lieder (Independent), Yehezkel Resheff (Independent)
Average rating: ****.
(4.00, 1 rating)
Tom Hope, Itay Lieder, and Yehezkel Resheff walk you through the fundamental concepts of deep learning and explain how to build production-ready AI systems with TensorFlow, the leading software framework for building machine intelligence systems with deep learning. Read more.
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9:00am12:30pm Tuesday, May 9, 2017
Location: Meeting Room 12
Level: Intermediate
Aaron Schumacher (Deep Learning Analytics)
Average rating: ***..
(3.25, 8 ratings)
Aaron Schumacher takes a building-block approach to exploring the tools TensorFlow provides so you can build the systems you need and write your own TensorFlow—not just run other people's scripts. Aaron discusses the many aspects of TensorFlow—including data management, machine learning, distribution, and serving—by comparing them with similar functionality in other toolkits. Read more.
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11:00am5:45pm Wednesday, May 10, 2017
Location: Meeting Room 16
Amy Unruh (Google), Yufeng Guo (Google), Ben Hall (Katacoda | Ocelot Uproar), Yufeng Guo (Google), Amy Unruh (Google), Yufeng Guo (Google), Martin Wicke (Google), Vijay Vasudevan (Google), Aaron Schumacher (Deep Learning Analytics), Vijay Vasudevan (Google)
TensorFlow Day at OSCON has been put together by our partners from Google at the center of the very popular, game-changing, open source project TensorFlow. Read more.
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2:35pm3:15pm Wednesday, May 10, 2017
Location: Meeting Room 18 C/D
Level: Beginner
Average rating: ****.
(4.50, 2 ratings)
Taras Matyashovsky explains how to use Apache Spark MLlib to build a supervised learning NLP pipeline to distinguish pop music from heavy metal—and have fun in the process. Read more.