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

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Published Aug 23, 2017

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.
See all the talks from Google I/O '17 here:
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Category: Tech

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

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