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.openpublishing.publish.config.json

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docs/_breadcrumb/toc.yml

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topicHref: /visualstudio/cross-platform/cross-platform-mobile-development-in-visual-studio
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docs/ai/TOC.yml

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# Auto-expanded node
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title: Create a project
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docs/ai/installation.md

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- "multiple"
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---
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# Overview of Visual Studio Tools for AI
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Visual Studio Tools for AI is an integrated development environment (IDE) that you can use to build, test, and deploy deep learning solutions. Learn more about how to use AI Tools from the following tutorials and samples.
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## Install the extension
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See the [Install Visual Studio Tools for AI](installation.md) page to learn how to download and install the extension.
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## 5-minute quickstart
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Learn how to run deep learning solution with [TensorFlow and Python](tensorflow-local.md)
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## Step-by-step tutorial
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Learn how to build a deep learning solution from the [Train a TensorFlow model in the cloud](tensorflow-vm.md) tutorial.
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## Samples
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Browse samples in the [Samples repository](https://github.com/Microsoft/samples-for-ai) and the [Machine Learning gallery](https://gallery.cortanaintelligence.com/projects).
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## Next steps
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## See also
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[Visual Studio extensibility](/visualstudio/extensibility/?view=vs-2017)

docs/ai/tensorflow-local.md

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title: Train a tensorflow model locally
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docs/azure/vs-azure-tools-access-private-azure-clouds-with-visual-studio.md

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Visual Studio provides a project template that lets you create an [Azure cloud service](/azure/cloud-services/cloud-services-choose-me), which is a simple general-purpose Azure service. Once the project has been created, Visual Studio enables you to configure, debug, and deploy the cloud service to Azure.
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This section walks you through creating an Azure cloud service project in Visual Studio with one or more web roles.

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# Managing roles in Azure cloud services with Visual Studio
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After you have created your Azure cloud service, you can add new roles to it or remove existing roles from it. You can also import an existing project and convert it to a role. For example, you can import an ASP.NET web application and designate it as a web role.

docs/azure/vs-azure-tools-cloud-service-publish-set-up-required-services-in-visual-studio.md

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# Prepare to publish or deploy a cloud service from Visual Studio
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docs/azure/vs-azure-tools-configure-roles-for-cloud-service.md

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# Configure Azure cloud service roles with Visual Studio
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An Azure cloud service can have one or more worker or web roles. For each role, you need to define how that role is set up and also configure how that role runs. To learn more about roles in cloud services, see the video [Introduction to Azure Cloud Services](https://channel9.msdn.com/Series/Windows-Azure-Cloud-Services-Tutorials/Introduction-to-Windows-Azure-Cloud-Services).

docs/azure/vs-azure-tools-configuring-an-azure-project.md

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# Configure an Azure cloud service project with Visual Studio
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You can configure an Azure cloud service project, depending on your requirements for that project. You can set properties for the project for the following categories:

docs/azure/vs-azure-tools-debug-cloud-services-virtual-machines.md

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# Debugging an Azure cloud service or virtual machine in Visual Studio
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docs/azure/vs-azure-tools-intellitrace-debug-published-cloud-services.md

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# Debugging a published Azure cloud service with Visual Studio and IntelliTrace
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With IntelliTrace, you can log extensive debugging information for a role instance when it runs in Azure. If you need to find the cause of a problem, you can use the IntelliTrace logs to step through your code from Visual Studio as if it were running in Azure. In effect, IntelliTrace records key code execution and environment data when your Azure application is running as a cloud service in Azure, and lets you replay the recorded data from Visual Studio.

docs/azure/vs-azure-tools-migrate-publish-web-app-to-cloud-service.md

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# How to: Migrate and Publish a Web Application to an Azure Cloud Service from Visual Studio
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