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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

Getting started with TensorFlow

Yufeng Guo (Google), Amy Unruh (Google)
9:00am–12:30pm Monday, September 18, 2017
Implementing AI
Location: Imperial A Level: Intermediate
Secondary topics:  Deep learning, Tools and frameworks
Average rating: ***..
(3.00, 1 rating)

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

Description

Yufeng Guo and Amy Unruh walk you through training and deploying a machine learning system using TensorFlow, a popular open source library. Yufeng and Amy begin with an overview of TensorFlow and a demonstration of some fun, already-trained TensorFlow models. You’ll then learn to build a simple classifier in TensorFlow before moving on to 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 Yufeng Guo

Yufeng Guo

Google

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.

Photo of Amy Unruh

Amy Unruh

Google

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

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