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Copy file name to clipboardExpand all lines: docs/ai/about-ai-tools.md
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@@ -3,9 +3,10 @@ title: AI Tools for Visual Studio
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titleSuffix: ""
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description: Overview of AI Tools for Visual Studio
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keywords: ai, visual studio
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author: lisawong19
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ms.author: liwong
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manager: routlaw
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author: jillre
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ms.author: jillfra
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manager: jillfra
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monikerRange: vs-2017
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ms.date: 11/13/2017
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ms.topic: "conceptual"
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ms.workload:
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Visual Studio Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It 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.
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Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](https://docs.microsoft.com/cognitive-toolkit/), [Google TensorFlow](https://www.tensorflow.org), or other deep-learning frameworks today.
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Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](/cognitive-toolkit/), [Google TensorFlow](https://www.tensorflow.org), or other deep-learning frameworks today.
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## Develop, debug, and deploy deep learning models and AI solutions
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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.
# Create an AI project from the Azure Machine Learning Gallery in Visual Studio
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Azure Machine Learning is integrated with Visual Studio Tools for AI. You can use it to submit machine learning jobs to remote compute targets like Azure virtual machines, Spark clusters, and more. Learn more about [Azure Machine Learning Experimentation](https://docs.microsoft.com/azure/machine-learning/preview/experimentation-service-configuration)
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Azure Machine Learning is integrated with Visual Studio Tools for AI. You can use it to submit machine learning jobs to remote compute targets like Azure virtual machines, Spark clusters, and more.
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Once you've [installed Visual Studio Tools for AI](installation.md), it's easy to create a new Python project using pre-made recipes in the Azure Machine Learning Sample Gallery.
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> [!NOTE]
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> Azure Machine Learning Workbench must be installed. To install it please see the [Azure Machine Learning installation quickstart](https://docs.microsoft.com/azure/machine-learning/preview/quickstart-installation)
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> Azure Machine Learning Workbench must be installed.
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1. Launch Visual Studio. Open the **Server Explorer** by opening the **AI Tools** menu and choosing **Select Cluster**
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title: Install AI Tools
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description: Describes how to install AI Tools for Visual Studio
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keywords: ai, visual studio
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author: lisawong19
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ms.author: liwong
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manager: routlaw
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author: jillre
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ms.author: jillfra
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manager: jillfra
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monikerRange: vs-2017
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ms.date: 11/13/2017
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ms.topic: "conceptual"
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This extension works with Visual Studio 2015 and Visual Studio 2017, Community edition or higher.
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You can download the tools from the [Visual Studio Marketplace](https://aka.ms/vstoolsforai), or from within Visual Studio:
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You can download the tools from the [Visual Studio Marketplace](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.vstoolsai-vs2017), or from within Visual Studio:
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1. Select **Tools** > **Extensions and Updates**.
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> [!NOTE]
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> CNTK currently does not support macOS.
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To install CNTK Python package, see [how to install CNTK](https://docs.microsoft.com/cognitive-toolkit/Setup-CNTK-on-your-machine).
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To install CNTK Python package, see [how to install CNTK](/cognitive-toolkit/Setup-CNTK-on-your-machine).
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