Serving Models in Production with TensorFlow Serving (TensorFlow Dev Summit 2017)

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Опубликовано 16 февраля 2017, 1:09
Serving is the process of applying a trained model in your application. In this talk, Noah Fiedel describes TensorFlow Serving, a flexible, high-performance ML serving system designed for production environments.

Visit the TensorFlow website for all session recordings: goo.gl/bsYmza

Subscribe to the Google Developers channel at goo.gl/mQyv5L


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