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Author: fbsolo-ms1

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

@@ -13,14 +13,14 @@ ms.topic: conceptual
 ms.date: 04/17/2024
 ---
 
-# Deep learning and AI frameworks for the Azure Data Science VM
-Deep learning frameworks on the DSVM are listed below.
+# Deep learning and AI frameworks for the Azure Data Science Virtual Machine
+Deep learning frameworks on the DSVM are listed here:
 
 ## [CUDA, cuDNN, NVIDIA Driver](https://developer.nvidia.com/cuda-toolkit)
 
 | Category | Value |
 |--|--|
-| Version(s) supported | 11 |
+| Supported versions | 11 |
 | Supported DSVM editions | Windows Server 2019<br>Linux |
 | How is it configured and installed on the DSVM? | _nvidia-smi_ is available on the system path. |
 | How to run it | Open a command prompt (on Windows) or a terminal (on Linux), and then run _nvidia-smi_. |
@@ -29,7 +29,7 @@ Deep learning frameworks on the DSVM are listed below.
 
 | Category | Value |
 | ------------- | ------------- |
-| Version(s) supported | 0.21.3|
+| Supported versions | 0.21.3|
 | Supported DSVM editions      | Linux |
 | How is it configured and installed on the DSVM?  | Horovod is installed in Python 3.5 |
 | How to run it      | Activate the correct environment at the terminal, and then run Python. |
@@ -38,7 +38,7 @@ Deep learning frameworks on the DSVM are listed below.
 
 | Category | Value |
 |--|--|
-| Version(s) supported |  |
+| Supported versions |  |
 | Supported DSVM editions | Windows Server 2019<br>Linux |
 | What is it used for? | As an NVIDIA tool to query GPU activity |
 | How is it configured and installed on the DSVM? | `nvidia-smi` is on the system path. |
@@ -48,7 +48,7 @@ Deep learning frameworks on the DSVM are listed below.
 
 | Category | Value |
 |--|--|
-| Version(s) supported | 1.9.0 (Linux, Windows 2019) |
+| Supported versions | 1.9.0 (Linux, Windows 2019) |
 | Supported DSVM editions | Windows Server 2019<br>Linux |
 | How is it configured and installed on the DSVM? | Installed in Python, conda environments 'py38_default', 'py38_pytorch' |
 | How to run it | At the terminal, activate the appropriate 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. |
@@ -57,7 +57,7 @@ Deep learning frameworks on the DSVM are listed below.
 
 | Category | Value |
 |--|--|
-| Version(s) supported | 2.5 |
+| Supported versions | 2.5 |
 | Supported DSVM editions | Windows Server 2019<br>Linux |
 | How is it configured and installed on the DSVM? | Installed in Python, conda environments 'py38_default', 'py38_tensorflow' |
 | How to run it | At the terminal, activate the correct environment, and then run Python. <br/> * Jupyter: Connect to [Jupyter](provision-vm.md) or [JupyterHub](dsvm-ubuntu-intro.md#how-to-access-the-ubuntu-data-science-virtual-machine), and then open the TensorFlow directory for samples. |