Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Getting started with TensorFlow

Amy Unruh (Google), Yufeng Guo (Google)
9:00am12:30pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 E/F Level: Intermediate
Secondary topics:  Deep learning
Average rating: ***..
(3.69, 16 ratings)

Who is this presentation for?

  • Developers interested in machine learning

Prerequisite knowledge

  • A basic understanding of Python
  • Familiarity with machine learning (useful but not required)

Materials or downloads needed in advance

What you'll learn

  • Learn how to build and deploy simple and complex models with TensorFlow


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. By comparing the results of the models, you’ll gain insight into deep learning and how it can apply to complex problems in science and industry.

Photo of Amy Unruh

Amy Unruh


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.

Photo of Yufeng Guo

Yufeng Guo


Yufeng Guo is a developer advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all. He enjoys hearing about new and interesting applications of machine learning, so be sure to share your use case with him on Twitter.

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Picture of Yufeng Guo
03/19/2017 11:07am PDT

Thank you for the feedback Lolo, glad you enjoyed it!

Lolo Fernandez | DATA SCIENTIST
03/18/2017 9:52am PDT

Thanks for taking the time and presenting it. It was an outstanding presentation. I like the ready to use examples.