Sep 9–12, 2019

Swift for TensorFlow: A next-generation framework for differential programming

Brennan Saeta (Google)
2:35pm3:15pm Thursday, September 12, 2019
Location: Expo Hall 3

Who is this presentation for?

ML practitioners, engineers, and researchers with a variety of

Level

Advanced

Description

Have you ever wanted to take the derivative of a dynamic program, or a Monte Carlo Tree Search? Have you ever wanted to write your own kernels? Are you sometimes bewildered by the massive API surface and complexity of modern deep learning frameworks?

The Swift for TensorFlow project is a next-generation framework for machine learning and differential computation. For instance, it includes a source-to-source auto-differentiation system that is built-into the Swift language itself, resulting in a far more flexible and powerful toolchain.

This talk will cover why Swift, the benefits of the Swift for TensorFlow project, and finally how to use Swift for TensorFlow in your own projects and applications.

Prerequisite knowledge

Basic familiarity with deep learning concepts.

What you'll learn

Audience members should learn: (1) when they should consider Swift for TensorFlow (its strengths and weaknesses), (2) how to leverage the Swift for TensorFlow toolchain in their own projects, applications, and research.
Photo of Brennan Saeta

Brennan Saeta

Google

Brennan Saeta is a software engineer on the Google Brain team leading the Swift for TensorFlow project. He previously was the TensorFlow tech lead for Cloud TPUs.

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