Difference between revisions of "Gyan/TFiO"
< Gyan
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=== Gyan Training Infrastructure === | === Gyan Training Infrastructure === | ||
| − | [[File:Gyan-Training-Infra.png|thumb|center | + | [[File:Gyan-Training-Infra.png|800px|thumb|center]] |
=== Gyan Deploy Infrastructure === | === Gyan Deploy Infrastructure === | ||
| + | [[File:Gyan-Deploy-Infra.png|800px|thumb|center]] | ||
| + | == Quick Easy Steps == | ||
| − | + | [https://github.com/openstack/gyan/blob/master/doc/source/developer-guide.md Developer Guide to setup Gyan in DevStack] | |
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Latest revision as of 13:19, 17 November 2018
Contents
Gyan Implementation for TensorFlow Tech Stack
TensorFlow In Openstack ( TFiO )
As part of first release in Gyan architecture, we are introducing support for TensorFlow, hence the name TFiO ( TensorFlow In Openstack ). Following the new architecture, support will be added to train & deploy TensorFlow models. Other ML technologies like PyTorch, Spark, SciKit Learn etc will be added in future releases and is part of roadmap.
Following are the highlevel flows of training & deploying tensor flow models using Gyan
