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
On Wed, Oct 17, 2018 at 05:29:36PM +0200, Sven Boesiger wrote:
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
The editors are +1 on this pitch and want to see a full draft. Could you please use podman instead of docker, though? (For one thing podman doesn’t require a daemon to be running, and you don’t need root or sudo for it.) The syntax is almost always identical, but let us know if you hit any problem.
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