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Update dsvm-tools-deep-learning-frameworks.md
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articles/machine-learning/data-science-virtual-machine/dsvm-tools-deep-learning-frameworks.md

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@@ -113,7 +113,7 @@ Deep learning frameworks on the DSVM are listed below.
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| ------------- | ------------- |
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| Version(s) supported | 1.2.0 (Ubuntu 16.04), 1.7.1 (Ubuntu 18.04, Windows 2019) |
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| Supported DSVM editions | Windows Server 2019<br>Ubuntu 18.04<br> Ubuntu 16.04 |
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| How is it configured / installed on the DSVM? | Installed in [Python 3.5](dsvm-tools-languages.md#python-linux-edition). Sample Jupyter notebooks are included, and samples are in /dsvm/samples/pytorch. |
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| How is it configured / installed on the DSVM? | Installed in [Python 3.7](dsvm-tools-languages.md#python-linux-edition) under the py37_pytorch conda environment. Sample Jupyter notebooks are included, and samples are in /dsvm/samples/pytorch. |
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| How to run it | Terminal: Activate the correct environment, and then run Python.<br/>* [JupyterHub](dsvm-ubuntu-intro.md#how-to-access-the-ubuntu-data-science-virtual-machine): Connect, and then open the PyTorch directory for samples. |
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## [TensorFlow](https://www.tensorflow.org/)

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