Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Brian Foo

Brian Foo
Senior Software Engineer, Google

Brian Foo is a senior software engineer for Google Cloud working on applied artificial intelligence, where he builds demos for Google Cloud’s strategic customers and creates open source tutorials to improve public understanding of AI. Previously, Brian worked at Uber, where he trained machine learning models and built a large-scale training and inference pipeline for mapping and sensing/perception applications using Hadoop and Spark, and headed the real-time bidding optimization team at Rocket Fuel, where he worked on algorithms that determined millions of ads shown every second across many platforms such as web, mobile, and programmatic TV. Brian holds a BS in EECS from UC Berkeley and a PhD in EE telecommunications from UCLA.

Sessions

1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1E 09 Level: Intermediate
Secondary topics:  Model lifecycle management
Brian Foo (Google), Holden Karau (Google), Jay Smith (Google)
Average rating: **...
(2.00, 7 ratings)
TensorFlow and Keras are popular libraries for training deep models due to hardware accelerator support. Brian Foo, Jay Smith, and Holden Karau explain how to bring deep learning models from training to serving in a cloud production environment. You'll learn how to unit-test, export, package, deploy, optimize, serve, monitor, and test models using Docker and TensorFlow Serving in Kubernetes. Read more.