Update dsvm-tools-deep-learning-frameworks.md

updated pytorch

Author: samuel100

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

@@ -113,7 +113,7 @@ Deep learning frameworks on the DSVM are listed below.
 | ------------- | ------------- |
 | Version(s) supported | 1.2.0 (Ubuntu 16.04), 1.4.0 (Ubuntu 18.04, Windows 2019) |
 | Supported DSVM editions      | Windows Server 2019<br>Ubuntu 18.04<br> Ubuntu 16.04 |
-| 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. |
+| 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. |
 | 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.  |
 
 ## [TensorFlow](https://www.tensorflow.org/)
@@ -142,4 +142,4 @@ Deep learning frameworks on the DSVM are listed below.
 | Version(s) supported | 1.0.3 |
 | Supported DSVM editions      | Ubuntu 16.04 |
 | How is it configured / installed on the DSVM?  |Theano is installed in Python 2.7 (_root_), and in Python 3.5 (_py35_) environment. |
-| How to run it      |  Terminal: Activate the Python version you want (root or py35), run Python, and then import Theano.<br/>* Jupyter: Select the Python 2.7 or 3.5 kernel, and then import Theano.  <br/>To work around a recent math kernel library (MKL) bug, you need to first set the MKL threading layer as follows:<br/><br/>`export MKL_THREADING_LAYER=GNU`  |
+| How to run it      |  Terminal: Activate the Python version you want (root or py35), run Python, and then import Theano.<br/>* Jupyter: Select the Python 2.7 or 3.5 kernel, and then import Theano.  <br/>To work around a recent math kernel library (MKL) bug, you need to first set the MKL threading layer as follows:<br/><br/>`export MKL_THREADING_LAYER=GNU`  |