Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Getting started with TensorFlow

Yufeng Guo (Google), Amy Unruh (Google)
9:00am12:30pm Tuesday, September 26, 2017
Data science & advanced analytics, Machine Learning
Location: 1A 21/22 Level: Intermediate

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

A laptop with TensorFlow installed (https://www.tensorflow.org/install/)

What you'll learn

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

Description

We will walk you through training and deploying a machine-learning system using TensorFlow, a popular open source library.
Starting from conceptual overviews, we will build all the way up to complex classifiers. 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 is a Developer Advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all.
He is enjoys hearing about new and interesting applications of machine learning, share your use case with him on Twitter @YufengG

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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