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

Amy Unruh
Staff Developer Relations Engineer, Google

Website | @amygdala

Amy Unruh is a developer programs engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics, as well as other Cloud Platform technologies. Amy has an academic background in CS/AI, and she’s worked at several startups as well as industrial R&D and published a book on App Engine.


11:00am11:40am Wednesday, May 10, 2017
Location: Meeting Room 16
Amy Unruh (Google), Yufeng Guo (Google)
Average rating: ****.
(4.75, 4 ratings)
Amy Unruh and Yufeng Guo introduce TensorFlow and its ecosystem of related libraries, tools, and models and discuss some of the ways it's being used for deep learning—both within Google and in the larger OSS community. Along the way, Amy and Yufeng take a look at TensorFlow's roadmap, highlight some of the projects that are using TensorFlow, and give some fun demos. Read more.
1:45pm3:15pm Wednesday, May 10, 2017
Data, Big and Small, TensorFlow
Location: Meeting Room 16
Level: Intermediate
Yufeng Guo (Google), Amy Unruh (Google)
Average rating: ****.
(4.67, 6 ratings)
Deep learning has already revolutionized machine-learning research, but it remains opaque to many developers. Yufeng Guo and Amy Unruh explain just how easy it is to get started with advanced machine learning by live-coding a wide and deep learning model using TensorFlow, training it using TensorFlow's tf.learn library, and evaluating it. You'll leave ready to use deep learning on your own data. Read more.