From Research to Production with TensorFlow Serving (Google I/O '17)

Published: 19 May 2017
on channel: Google for Developers
14,526
154

Learn how to bring your TensorFlow models from research to production. In this talk, Noah Fiedel describes how to export and serve your models at scale with TensorFlow Serving. He will also cover best practices and lessons learned from large scale serving of machine learned models.

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