Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
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.

Sessions

9:00am12:30pm Tuesday, June 27, 2017
Implementing AI
Location: Murray Hill E/W Level: Advanced
Secondary topics:  Cloud, Deep Learning
Yufeng Guo (Google), Amy Unruh (Google)
Average rating: **...
(2.00, 2 ratings)
Amy Unruh and Yufeng Guo walk you through training and deploying a machine learning system using TensorFlow, a popular open source library. Amy and Yufeng begin by giving an overview of TensorFlow and demonstrating some fun, already-trained TensorFlow models. Then, they show how to build a simple classifier in TensorFlow, before introducing some more complex classifier models. Read more.
9:40am9:45am Thursday, June 29, 2017
Location: Grand Ballroom
Amy Unruh (Google)
Average rating: ***..
(3.00, 3 ratings)
Amy Unruh offers a quick overview of machine learning on Google Cloud Platform and demonstrates a couple of the Google Cloud ML APIs. She then briefly highlights a few OSS TensorFlow models and explains how to use transfer learning to fine-tune them with your own data. Read more.