December 2018
Intermediate to advanced
764 pages
18h 18m
English
book
Python: Advanced Guide to Artificial Intelligence
by Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
Content preview from Python: Advanced Guide to Artificial Intelligence
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Distributed Models with TensorFlow Clusters
Previously we learned how to run TensorFlow models at scale in production using Kubernetes, Docker and TensorFlow serving. TensorFlow serving is not the only way to run TensorFlow models at scale. TensorFlow provides another mechanism to not only run but also train the models on different nodes and different devices on multiple nodes or the same node. In this chapter, we shall learn how to distribute the TensorFlow models to run on multiple devices across multiple nodes.
In this chapter, we shall cover the following topics:
- Strategies for distributed execution
- TensorFlow clusters
- Data parallel models
- Asynchronous and synchronous updates to distributed models
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.