Create a containerized machine learning model

Posted by bob on Nov 2, 2018 12:30 PM EDT
Fedora Magazine; By Sven Bösiger 		Mail this story
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After data scientists have created a machine learning model, it has to be deployed into production. To run it on different infrastructures, using containers and exposing the model via a REST API is a common way to deploy a machine learning model. This article demonstrates how to roll out a TensorFlow machine learning model......

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