VS Code Tools for AI Further Microsoft's Deep Learning Efforts

Much of the Microsoft Ignite conference news last week focused on the company's artificial intelligence (AI) and deep learning efforts, including the new Visual Studio Code Tools for AI.

The new offering was featured in a bevy of announcements about cutting-edge initiatives such as Azure Machine Learning (AML), Cognitive Services and a large selection of new enterprise AI solutions.

Joining this pantheon is Visual Studio Code Tools for AI, available in the Visual Studio Marketplace as an extension.

With AML services built in, it helps programmers build deep learning/AI apps working across the desktop (Windows, Linux and macOS) and cloud.

"This extension provides a rich set of capabilities for easily building models with deep learning frameworks including Microsoft Cognitive Toolkit (CNTK), Google TensorFlow, Theano, Keras, Chainer and Caffe2," said Microsoft exec Joseph Sirosh in a blog post. "It integrates with the AML Experimentation service for executing jobs locally and in the cloud, and with the AML Model Management service for model deployment."

While leveraging existing VS Code support for the Python and C/C++/C# programming languages, it also adds support for Cognitive Toolkit BrainScript.

One feature of the new tools offering is a Sample Explorer that developers can use to discover deep learning/AI sample experiments -- using CNTK, TensorFlow, MMLSpark and so on -- and easily try them out. Examples of such experiments include transparently submitting data preparation and model training jobs to different compute targets, according to the project's GitHub site.

Microsoft said that in addition to exploring such projects, the tools package can help coders develop sophisticated deep neural network models, which can then be deployed in production through AML, leveraging the familiar capabilities within VS Code.

[Click on image for larger view.] Visual Studio Code Tools for AI (source: Microsoft).

"Because it's an IDE we've enabled familiar code editor features like syntax highlighting, IntelliSense (auto-completion) and text auto formatting," Microsoft said. "You can interactively test your deep learning application in your local environment using step-through debugging on local variables and models."

A Quick Start provides details on how to explore project samples, create a new project from the explorer, submit an experiment with it, view a jobs list and job details and more.

About the Author

David Ramel is an editor and writer for Converge360.

comments powered by Disqus


  • Visual Studio Code Dev Team Cleans Up

    The Visual Studio Code development team focused on some housekeeping in the October update, closing more than 4,000 issues on GitHub, where the cross-platform, open-source editor lives.

  • ML.NET Model Builder Update Boosts Image Classification

    Microsoft announced an update to the Model Builder component of its ML.NET machine learning framework, boosting image classification and adding "try your model" functionality for predictions with sample input.

  • How to Do Naive Bayes with Numeric Data Using C#

    Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to demonstrate how to create a naive Bayes classification system when the predictor values are numeric, using the C# language without any special code libraries.

  • Vortex

    Open Source 'Infrastructure-as-Code' SDK Adds .NET Core Support for Working with Azure

    Pulumi, known for its "Infrastructure-as-Code" cloud development tooling, has added support for .NET Core, letting .NET-centric developers use C#, F# and VB.NET to create, deploy, and manage Azure infrastructure.

  • .NET Framework Not Forgotten: Repair Tool Updated

    Even though Microsoft's development focus has shifted to the open-source, cross-platform .NET Core initiative -- with the aging, traditional, Windows-only .NET Framework relegated primarily to fixes and maintenance such as quality and reliability improvements -- the latter is still getting some other attention, as exemplified in a repair tool update.

.NET Insight

Sign up for our newsletter.

Terms and Privacy Policy consent

I agree to this site's Privacy Policy.

Upcoming Events