Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

The state of TensorFlow and where it is going in 2017

Sherry Moore (Google)
17:2518:05 Wednesday, 24 May 2017
Data science and advanced analytics
Location: Hall S21/23 (A)
Secondary topics:  Deep learning

What you'll learn

  • Explore TensorFlow's progress in 2016 and glimpse future improvements for 2017

Description

Over 2016, TensorFlow went from an early release to being the most popular machine-learning library. With strong distributed support, improved performance, wider platform coverage, and more added through the year, TensorFlow has seen widespread adoption across the industry. Sherry Moore discusses TensorFlow progress and adoption over 2016 and looks ahead to TensorFlow efforts in future areas of importance, such as performance, usability, and ubiquity.

Photo of Sherry Moore

Sherry Moore

Google

Sherry Moore is a software engineer on the Google Brain team. Her other projects at Google include Google Fiber and Google Ads Extractor. Previously, she spent 14 years as a systems and kernel engineer at Sun Microsystems.

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