Merge pull request #2 from MicrosoftDocs/master

Sync.

Author: LLLXXXCCC

.openpublishing.publish.config.json

@@ -118,5 +118,8 @@
   "need_generate_pdf": false,
   "need_generate_intellisense": false,
   "enable_branch_build_custom_validation": true,
-  "enable_pull_request_custom_validation": true
-}
+  "enable_pull_request_custom_validation": true,
+  "docs_build_engine": {
+    "name": "docfx_v3"
+  }
+}

.openpublishing.redirection.json

@@ -19,7 +19,7 @@
           topicHref: /visualstudio/code-quality/analyzing-application-quality-by-using-code-analysis-tools
         - name: Cross Platform
           tocHref: /visualstudio/cross-platform/
-          topicHref: /visualstudio/cross-platform/index
+          topicHref: /visualstudio/cross-platform/cross-platform-mobile-development-in-visual-studio
         - name: Data Tools
           tocHref: /visualstudio/data-tools/
           topicHref: /visualstudio/data-tools/index
@@ -47,7 +47,7 @@
           topicHref: /visualstudio/profiling/index
         - name: Testing
           tocHref: /visualstudio/test/
-          topicHref: /visualstudio/test/improve-code-quality
+          topicHref: /visualstudio/test/index
         - name: Workflow Designer
           tocHref: /visualstudio/workflow-designer/
           topicHref: /visualstudio/workflow-designer/developing-applications-with-the-workflow-designer
@@ -102,3 +102,6 @@
         - name: VSTO
           tocHref: /visualstudio/vsto/
           topicHref: /visualstudio/vsto/create-vsto-add-ins-for-office-by-using-visual-studio
+      - name: Azure Development
+        tocHref: /visualstudio/azure
+        topicHref: /visualstudio/azure/index

docs/_breadcrumb/toc.yml

@@ -2,7 +2,7 @@
 # Auto-expanded node
   items:
   - name: Visual Studio Tools for AI
-    href: index.yml
+    href: overview.md
   - name: Overview
     href: about-ai-tools.md
   - name: Installation

docs/ai/TOC.yml

@@ -3,9 +3,10 @@ title: AI Tools for Visual Studio
 titleSuffix: ""
 description: Overview of AI Tools for Visual Studio
 keywords: ai, visual studio
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: "conceptual"
 ms.workload:
@@ -15,7 +16,7 @@ ms.workload:
 
 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.
 
-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.
+Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](/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.

docs/ai/about-ai-tools.md

@@ -1,8 +1,9 @@
 ---
 title: Create an AI project from existing code
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/create-project-existing.md

@@ -2,9 +2,10 @@
 title: Create a project
 description: create project using sample from azure machine learning gallery
 keywords: ai, visual studio, azure machine learning
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: "conceptual"
 ms.workload:
@@ -17,7 +18,7 @@ Azure Machine Learning is integrated with Visual Studio Tools for AI. You can us
 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.
 
 > [!NOTE]
-> 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)
+> Azure Machine Learning Workbench must be installed. To install it please see the [Azure Machine Learning installation quickstart](/azure/machine-learning/preview/quickstart-installation)
 
 1. Launch Visual Studio. Open the **Server Explorer** by opening the **AI Tools** menu and choosing **Select Cluster**
 

docs/ai/create-project-gallery.md

@@ -1,8 +1,9 @@
 ---
 title: Clone a repo
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/create-project-repo.md

@@ -1,8 +1,9 @@
 ---
 title: Create an AI project from a template
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/create-project.md

@@ -2,9 +2,10 @@
 title: Install AI Tools
 description: Describes how to install AI Tools for Visual Studio
 keywords: ai, visual studio
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: "conceptual"
 ms.workload:
@@ -18,7 +19,7 @@ Visual Studio Tools for AI can be installed on Windows 64-bit operating systems.
 
 This extension works with Visual Studio 2015 and Visual Studio 2017, Community edition or higher.
 
-You can download the tools from the [Visual Studio Marketplace](https://aka.ms/vstoolsforai), or from within Visual Studio:
+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:
 
 1. Select **Tools** > **Extensions and Updates**.
 
@@ -131,7 +132,7 @@ The [Microsoft Cognitive Toolkit](https://cntk.ai) is a unified deep-learning to
 > [!NOTE]
 > CNTK currently does not support macOS.
 
-To install CNTK Python package, see [how to install CNTK](https://docs.microsoft.com/cognitive-toolkit/Setup-CNTK-on-your-machine).
+To install CNTK Python package, see [how to install CNTK](/cognitive-toolkit/Setup-CNTK-on-your-machine).
 
 ### TensorFlow
 

docs/ai/index.yml

@@ -1,8 +1,9 @@
 ---
 title: View recent jobs
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/installation.md

@@ -1,8 +1,9 @@
 ---
 title: Browse storage to upload data
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/job-details.md

@@ -1,8 +1,9 @@
 ---
 title: Monitor GPU utilization
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/manage-storage.md

@@ -1,8 +1,9 @@
 ---
 title: Monitor with TensorBoard
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: conceptual
 ms.workload:

docs/ai/monitor-gpu.md

@@ -0,0 +1,37 @@
+---
+title: Overview of Visual Studio Tools for AI
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
+ms.date: 11/13/2017
+ms.topic: conceptual
+ms.workload:
+  - "multiple"
+---
+# Overview of Visual Studio Tools for AI
+
+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.
+
+## Install the extension
+
+See the [Install Visual Studio Tools for AI](installation.md) page to learn how to download and install the extension.
+
+## 5-minute quickstart 
+
+Learn how to run deep learning solution with [TensorFlow and Python](tensorflow-local.md)
+
+## Step-by-step tutorial
+
+Learn how to build a deep learning solution from the [Train a TensorFlow model in the cloud](tensorflow-vm.md) tutorial.
+
+## Samples
+
+Browse samples in the [Samples repository](https://github.com/Microsoft/samples-for-ai) and the [Machine Learning gallery](https://gallery.cortanaintelligence.com/projects).
+
+## Next steps
+
+To learn even more about Visual Studio Tools for AI, including system requirements and support options, see the [About Visual Studio Tools for AI](about-ai-tools.md) page.
+
+## See also
+[Visual Studio extensibility](/visualstudio/extensibility/?view=vs-2017)

docs/ai/monitor-tensorboard.md

@@ -2,9 +2,10 @@
 title: Train a tensorflow model locally
 description: Run a tensorflow model locally in AI Tools for Visual Studio
 keywords: ai, visual studio, tensorflow, local
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: quickstart
 ms.devlang: python

docs/ai/overview.md

@@ -2,9 +2,10 @@
 title: Run a TensorFlow model in the cloud
 description: run a tensorflow model in azure deep learning vm
 keywords: ai, visual studio, deep learning virtual machine
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: tutorial
 ms.devlang: python
@@ -13,7 +14,7 @@ ms.workload:
 ---
 # Train a TensorFlow model in the cloud
 
-In this tutorial, we will train a TensorFlow model using the [MNIST dataset](http://yann.lecun.com/exdb/mnist/) on an Azure [Deep Learning](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/deep-learning-dsvm-overview) virtual machine.
+In this tutorial, we will train a TensorFlow model using the [MNIST dataset](http://yann.lecun.com/exdb/mnist/) on an Azure [Deep Learning](/azure/machine-learning/data-science-virtual-machine/deep-learning-dsvm-overview) virtual machine.
 
 The MNIST database has a training set of 60,000 examples, and a test set of 10,000 examples of handwritten digits.
 
@@ -25,7 +26,7 @@ Before you begin, ensure you have the following installed and configured:
 > [!NOTE]
 > Set **OS type** to Linux.
 
-Instructions for setting up Deep Learning Virtual Machine can be found [here](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/provision-deep-learning-dsvm).
+Instructions for setting up Deep Learning Virtual Machine can be found [here](/azure/machine-learning/data-science-virtual-machine/provision-deep-learning-dsvm).
 
 ### Remove comment in parens
 

docs/ai/tensorflow-local.md

@@ -2,17 +2,18 @@
 title: Submit a job to train model in Azure Batch AI
 description: train model cloud
 keywords: ai, visual studio, train model, cloud
-author: lisawong19
-ms.author: liwong
-manager: routlaw
+author: jillre
+ms.author: jillfra
+manager: jillfra
+monikerRange: vs-2017
 ms.date: 11/13/2017
 ms.topic: "conceptual"
 ms.workload:
   - "azure"
 ---
 # Train AI models in Azure Batch AI
 
-Batch AI is a managed service that enables data scientists and AI researchers to train AI and other machine learning models on clusters of Azure virtual machines, including VMs with GPU support. You describe the requirements of your job, where to find the inputs and store the outputs, and Batch AI handles the rest. [Learn more about Azure Batch AI](https://docs.microsoft.com/azure/batch-ai/overview)
+Batch AI is a managed service that enables data scientists and AI researchers to train AI and other machine learning models on clusters of Azure virtual machines, including VMs with GPU support. You describe the requirements of your job, where to find the inputs and store the outputs, and Batch AI handles the rest. [Learn more about Azure Batch AI](/azure/batch-ai/overview)
 
 It's integrated with Visual Studio Tools for AI so you can dynamically scale out training models in Azure.  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.