Acrolinx fixes

Author: gewarren

docs/ai/about-ai-tools.md

@@ -17,27 +17,27 @@ Visual Studio Tools for AI is an extension to build, test, and deploy Deep Learn
 
 Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](http://www.microsoft.com/en-us/cognitive-toolkit), [Google TensorFlow](https://www.tensorflow.org), or other deep-learning frameworks today.
 
-## Develop, debug and deploy deep learning models and AI solutions
-Use the productivity features of Visual Studio to accelerate AI innovation today. Use built-in code editor features like syntax highlighting, IntelliSense and text auto formatting. You can interactively test your deep learning application in your local environment using step-through debugging on local variables and models.
+## Develop, debug, and deploy deep learning models and AI solutions
+Use the productivity features of Visual Studio to accelerate AI innovation today. Use built-in code editor features like syntax highlighting, IntelliSense, and text auto formatting. You can interactively test your deep learning application in your local environment using step-through debugging on local variables and models.
 
 ![deep learning ide](media/about/ide.png)
 
 ## Get started quickly with the Azure Machine Learning Sample Gallery
-Visual Studio Tools for AI is integrated with Azure Machine Learning to make it easy to browse through a gallery of sample experiments using CNTK, TensorFlow, MMLSpark and more.
+Visual Studio Tools for AI is integrated with Azure Machine Learning to make it easy to browse through a gallery of sample experiments using CNTK, TensorFlow, MMLSpark, and more.
 
 ![sample explorer](media/about/gallery.png)
 
 [Learn more about creating projects from the sample gallery](create-project-gallery.md)
 
 ## Scale out deep learning model training and/or inferencing to the cloud
-This extension makes it easy to train models on your local computer or you can submit jobs to the cloud by using our integration with Azure Machine Learning. You can submit jobs to different compute targets like Spark clusters, Azure GPU virtual machines and more
+This extension makes it easy to train models on your local computer or you can submit jobs to the cloud by using our integration with Azure Machine Learning. You can submit jobs to different compute targets like Spark clusters, Azure GPU virtual machines, and more.
 
 ![submit job](media/about/submitjobs.png)
 
 [Learn more about training models in the cloud](tensorflow-vm.md)
 
 ## Supported Operating Systems
-Currently this extension supports Windows 64-bit operating systems
+Currently this extension supports Windows 64-bit operating systems.
 
 ## Support
-Support for this extension is provided on our [GitHub Issue Tracker](http://github.com/Microsoft/vs-tools-for-ai/issues). You can submit a bug report, a feature suggestion or participate in discussions.
+Support for this extension is provided on our [GitHub Issue Tracker](http://github.com/Microsoft/vs-tools-for-ai/issues). You can submit a bug report or feature suggestion and participate in discussions.