Pitch: How to deploy a machine learning model in a Fedora docker container with a Connexion REST-API

[Sven Boesiger]

Hey guys

I wondered if it was of interest to describe the process on how to deploy machine-learning models (TensorFlow) on a Fedora system using Fedora Docker containers and provide a (swagger) REST-API.  The summary can be found here:

https://fedoramagazine.org/p=22888&preview=true&preview_id=22888

To my background: I am Data Scientist working for big clients such as IKEA and Swiss banks. We use a lot of RHEL in this environment - thats why I personally switched from Ubuntu to Fedora to maintain a more or less consistent experience.

Many thanks for your feedback
Sven