Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA

TensorFlow, machine learning, and learning to learn

Sherry Moore (Google)
4:50pm–5:30pm Wednesday, September 20, 2017
Implementing AI
Location: Yosemite BC Level: Beginner
Secondary topics:  Data and training, Deep learning
Average rating: ****.
(4.00, 2 ratings)

Prerequisite Knowledge

  • A familiarity with machine learning basics

What you'll learn

  • Explore the latest advances in TensorFlow and machine learning, especially around dynamic model construction

Description

TensorFlow is the world’s most popular machine learning framework. Google Brain team member Sherry Moore discusses the latest developments in TensorFlow, including a discussion of recent changes and performance (including XLA, its compiler), and offers a dive into her research on evolving deep learning models using genetic algorithms.

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.

Comments on this page are now closed.

Comments

Picture of Asad Quraishi
Asad Quraishi | ENTERPRISE ANALYTICS ARCHITECT
06/15/2017 1:40am PDT

Hi Sherry, I’d be interested in any insights you can provide in deploying a tensor flow based model for real-time predictions in a Java-based production / web service environment. Thanks!