February 2020
Intermediate to advanced
40m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
TensorFlow’s tf.distribute library helps you scale your model from a single GPU to multiple GPUs and to multiple machines using simple APIs that require very few changes to your existing code.
Join Taylor Robie and Priya Gupta (Google) to learn how you can use tf.distribute to scale your machine learning model on a variety of hardware platforms ranging from commercial cloud platforms to dedicated hardware. You’ll learn tools and tips to get the best scaling for your training in TensorFlow.
Prerequisite knowledge
- Familiarity with TensorFlow
What you'll learn
- Learn how to distribute TensorFlow using best practices in 2.0 on a variety of equipment
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