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April 15-18, 2019
New York, NY
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TensorFlow 2.0: Machine Learning for You

joshua gordon (Google)
11:05am11:45am Wednesday, April 17, 2019
Implementing AI
Location: Mercury Rotunda
Secondary topics:  Deep Learning and Machine Learning tools

Who is this presentation for?

Developers, software engineers, decision makers

Level

Beginner

Prerequisite knowledge

Basic ML background or understanding. User of TensorFlow helpful.

What you'll learn

Learn the latest in TensorFlow for 2.0. Understanding how to use TensorFlow like a pro. Understanding the delta between 1.x and 2.0.

Description

We have recently released our TensorFlow 2.0 plans; by March we expect to have quite a bit of new material around 2.0.

2.0 is always-Eager execution, which leads to many shifts in how you should expect to use TensorFlow, and especially how you interact with graphs. TensorFlow 2.0 is more object-based, both around saving, but also around optimization. As you create subfunctions, you can apply “@defun” decorators to accelerate them. @defun uses Autograph (see https://medium.com/tensorflow/autograph-converts-python-into-tensorflow-graphs-b2a871f87ec7) to allow you to place loops, subfuctions, and other Python structures on accelerators. This can lead to a flexible, easy-to-use, Pythonic approach to building machine learning, all with the familiar scaling, performance, and distribution that you expect from TensorFlow.

Photo of joshua gordon

joshua gordon

Google

Josh Gordon is a developer advocate for TensorFlow at Google. He’s passionate about machine learning and computer science education. In his free time, Josh loves biking, running, and exploring the great outdoors.

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