TensorFlow Serving makes it simple and quick to deploy your models into a production environment. Not too dissimilar to how you would deploy any other microservice. It also works with TensorFlow models out of the box without much modification.
https://tensorflow.github.io/serving/
And a tutorial: https://medium.com/osldev-blog/tensorflow-serving-practical-introduction-9ce29ccd63f#.gt40kmfur
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