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