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 _______________________________________________ Fedora Magazine mailing list -- magazine@xxxxxxxxxxxxxxxxxxxxxxx To unsubscribe send an email to magazine-leave@xxxxxxxxxxxxxxxxxxxxxxx Fedora Code of Conduct: https://getfedora.org/code-of-conduct.html List Guidelines: https://fedoraproject.org/wiki/Mailing_list_guidelines List Archives: https://lists.fedoraproject.org/archives/list/magazine@xxxxxxxxxxxxxxxxxxxxxxx
