[jira] [Updated] (IGNITE-8335) TensorFlow integration

["Anton Dmitriev (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/IGNITE-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anton Dmitriev updated IGNITE-8335:
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    Description: The goal of TensorFlow on Apache Ignite is to allow users to train and inference neural network models on a data stored in Apache Ignite distributed database utilizing all TensorFlow functionality and Apache Ignite data collocation abilities.  (was: We want to have a integration with TensorFlow. Currently we think that we will implement our own parameter server(our wrap it) and distribute python code to local nodes with data.

This solution should use our datasets and python thin client in local python tasks.)

> TensorFlow integration
> ----------------------
>
>                 Key: IGNITE-8335
>                 URL: https://issues.apache.org/jira/browse/IGNITE-8335
>             Project: Ignite
>          Issue Type: New Feature
>          Components: ml
>            Reporter: Yury Babak
>            Assignee: Anton Dmitriev
>            Priority: Major
>
> The goal of TensorFlow on Apache Ignite is to allow users to train and inference neural network models on a data stored in Apache Ignite distributed database utilizing all TensorFlow functionality and Apache Ignite data collocation abilities.



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