This extension seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
Because it's an IDE we've enabled familiar code editor features like syntax highlighting, IntelliSense (auto-completion) 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.
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
Installing the Extension
Visual Studio Code
Tools for AI
extension by pressing
to open command palette, select
tools for AI
The extension provides several commands in the Command Palette for working with deep learning and machine learning:
AI: List Jobs
: View list of recent jobs you've submitted and their details
AI: Open Azure ML Sample Explorer
: Quickly get started with machine learning and deep learning experimentation by downloading sample projects you can run and modify to meet your needs
AI: Azure ML - Set Subscription
: Set your Azure Subscription to use for Azure Machine Learning experimentation
AI: Azure ML - Open Terminal
: Open Azure CLI terminal to access full Azure feature set
Joseph Sirosh, Corporate Vice President of the Cloud AI Platform, as he dives deep into the latest additions to the Microsoft AI platform and capabilities. Innovations in AI let any developer and data scientist infuse intelligence into their applications and target entirely new scenarios.