September 26-27, 2016
New York, NY

High-level APIs for scalable machine learning

Martin Wicke (Google)
4:35pm–5:15pm Monday, 09/26/2016
Implementing AI
Location: River Pavilion B Level: Intermediate

Prerequisite knowledge

  • Familiarity with machine learning
  • Experience with the challenges of using complex ML systems such as TensorFlow at scale
  • What you'll learn

  • Explore emerging APIs and libraries that make machine learning accessible to everybody
  • Description

    TensorFlow is a system for scalable machine learning. However, using raw TensorFlow and profiling, optimizing, and debugging large-scale models can be daunting for novice and expert users alike. Martin Wicke explores new APIs based on TensorFlow that aim to make building complex models easier and allow users to scale quickly.

    Topics include:

    • Common issues problems when implementing AI
    • Solutions in low-level implementations
    • How higher-level APIs can help
    • How much work can we do for the user?
    • Outlook: automate AI?
    Photo of Martin Wicke

    Martin Wicke


    Martin Wicke is a software engineer at Google working on making sure that TensorFlow is a thriving open source project. Previously, Martin worked in a number of startups and did research on computer graphics at Berkeley and Stanford.