TLS notice added to all impacted services.

Author: erhopf

articles/cognitive-services/Anomaly-Detector/overview.md

@@ -14,6 +14,8 @@ ms.author: aahi
 
 # What is the Anomaly Detector API?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data with machine learning. The Anomaly Detector API adapts by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
 
 ![Detect pattern changes in service requests](./media/anomaly_detection2.png)
@@ -22,7 +24,7 @@ Using the Anomaly Detector doesn't require any prior experience in machine learn
 
 ## Features
 
-With the Anomaly Detector, you can automatically detect anomalies throughout your time series data, or as they occur in real-time. 
+With the Anomaly Detector, you can automatically detect anomalies throughout your time series data, or as they occur in real-time.
 
 |Feature  |Description  |
 |---------|---------|
@@ -47,7 +49,7 @@ To run the Notebook, complete the following steps:
 1. Un-check the "public" option in the dialog box before completing the clone operation, otherwise your notebook, including any subscription keys, will be public.
 1. Click **Run on free compute**
 1. Select one of the notebooks.
-1. Add your valid Anomaly Detector API subscription key to the `subscription_key` variable. 
+1. Add your valid Anomaly Detector API subscription key to the `subscription_key` variable.
 1. Change the `endpoint` variable to your endpoint. For example: `https://westus2.api.cognitive.microsoft.com/anomalydetector/v1.0/timeseries/last/detect`
 1. On the top menu bar, click **Cell**, then **Run All**.
 

articles/cognitive-services/Computer-vision/Home.md

@@ -17,6 +17,8 @@ ms.custom: seodec18
 
 # What is Computer Vision?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Azure's Computer Vision service provides developers with access to advanced algorithms that process images and return information, depending on the visual features you're interested in. For example, Computer Vision can determine if an image contains adult content, or it can find all of the human faces in an image.
 
 You can use Computer Vision in your application through a native SDK or by invoking the REST API directly. This page broadly covers what you can do with Computer Vision.

articles/cognitive-services/Content-Moderator/overview.md

@@ -17,6 +17,8 @@ ms.author: pafarley
 
 # What is Azure Content Moderator?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Azure Content Moderator is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When this material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users. See the [Moderation APIs](#moderation-apis) section to learn more about what the different content flags indicate.
 
 ## Where it's used
@@ -73,4 +75,4 @@ As with all of the Cognitive Services, developers using the Content Moderator se
 
 ## Next steps
 
-Get started using the Content Moderator service by following the instructions in [Try Content Moderator on the web](quick-start.md).
+Get started using the Content Moderator service by following the instructions in [Try Content Moderator on the web](quick-start.md).

articles/cognitive-services/Custom-Vision-Service/home.md

@@ -16,6 +16,8 @@ ms.author: pafarley
 
 # What is Custom Vision?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent _classes_) to images, according to their visual characteristics. Unlike the [Computer Vision](https://docs.microsoft.com/azure/cognitive-services/computer-vision/home) service, Custom Vision allows you to determine the labels to apply.
 
 ## What it does

articles/cognitive-services/Face/Overview.md

@@ -15,6 +15,8 @@ ms.author: pafarley
 
 # What is the Azure Face service?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 The Azure Cognitive Services Face service provides algorithms that are used to detect, recognize, and analyze human faces in images. The ability to process human face information is important in many different software scenarios. Example scenarios are security, natural user interface, image content analysis and management, mobile apps, and robotics.
 
 The Face service provides several different functions. Each function is outlined in the following sections. Read on to learn more about them.

articles/cognitive-services/LUIS/what-is-luis.md

@@ -7,6 +7,8 @@ ms.date: 02/23/2020
 
 # What is Language Understanding (LUIS)?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
 
 A client application for LUIS is any conversational application that communicates with a user in natural language to complete a task. Examples of client applications include social media apps, chat bots, and speech-enabled desktop applications.
@@ -124,4 +126,4 @@ Samples using LUIS:
 [flow]: https://docs.microsoft.com/connectors/luis/
 [authoring-apis]: https://go.microsoft.com/fwlink/?linkid=2092087
 [endpoint-apis]: https://go.microsoft.com/fwlink/?linkid=2092356
-[qnamaker]: https://qnamaker.ai/
+[qnamaker]: https://qnamaker.ai/

articles/cognitive-services/QnAMaker/Overview/overview.md

@@ -15,6 +15,8 @@ ms.author: diberry
 
 # What is the QnA Maker service?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../../includes/cognitive-services-tls-announcement.md)]
+
 QnA Maker is a cloud-based Natural Language Processing (NLP) service that easily creates a natural conversational layer over your data. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information.
 
 A client application for QnA Maker is any conversational application that communicates with a user in natural language to answer a question. Examples of client applications include social media apps, chat bots, and speech-enabled desktop applications.

articles/cognitive-services/form-recognizer/overview.md

@@ -15,6 +15,8 @@ ms.author: pafarley
 
 # What is Form Recognizer?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Azure Form Recognizer is a cognitive service that uses machine learning technology to identify and extract text, key/value pairs and table data from form documents. It ingests text from forms and outputs structured data that includes the relationships in the original file. You quickly get accurate results that are tailored to your specific content without heavy manual intervention or extensive data science expertise. Form Recognizer is comprised of custom models, the prebuilt receipt model, and the layout API. You can call Form Recognizer models by using a REST API to reduce complexity and integrate it into your workflow or application.
 
 Form Recognizer is made up of the following services:
@@ -46,7 +48,7 @@ Form Recognizer also includes a model for reading English sales receipts from th
 
 ## Layout API
 
-Form Recognizer can also extract text and table structure (the row and column numbers associated with the text) using high-definition optical character recognition (OCR). 
+Form Recognizer can also extract text and table structure (the row and column numbers associated with the text) using high-definition optical character recognition (OCR).
 
 ## Get started
 
@@ -56,9 +58,9 @@ Follow a quickstart to get started extracting data from your forms. We recommend
   * Train without labels
     * [Quickstart: Train a Form Recognizer model and extract form data by using the REST API with cURL](quickstarts/curl-train-extract.md)
     * [Quickstart: Train a Form Recognizer model and extract form data by using the REST API with Python](quickstarts/python-train-extract.md)
-  * Train with labels 
+  * Train with labels
     * [Train a Form Recognizer model with labels using the sample labeling tool](quickstarts/label-tool.md)
-    * [Train a Form Recognizer model with labels using REST API and Python](quickstarts/python-labeled-data.md) 
+    * [Train a Form Recognizer model with labels using REST API and Python](quickstarts/python-labeled-data.md)
 * Prebuilt receipts - extract data from USA sales receipts
   * [Quickstart: Extract receipt data using cURL](quickstarts/curl-receipts.md)
   * [Quickstart: Extract receipt data using Python](quickstarts/python-receipts.md)
@@ -89,7 +91,7 @@ The input requirements for the receipt model are slightly different.
 
 * Format must be JPEG, PNG, BMP, PDF (text or scanned) or TIFF.
 * File size must be less than 20 MB.
-* Image dimensions must be between 50 x 50 pixels and 10000 x 10000 pixels. 
+* Image dimensions must be between 50 x 50 pixels and 10000 x 10000 pixels.
 * PDF dimensions must be at most 17 x 17 inches, corresponding to Legal or A3 paper sizes and smaller.
 * For PDF and TIFF, only the first 200 pages are processed (with a free tier subscription, only the first two pages are processed).
 

articles/cognitive-services/immersive-reader/overview.md

@@ -16,6 +16,8 @@ ms.author: metan
 
 # What is Immersive Reader?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 The [Immersive Reader](https://www.onenote.com/learningtools) is an inclusively designed tool that implements proven techniques to improve reading comprehension for emerging readers, language learners, and people with learning differences such as dyslexia.
 
 You can use Immersive Reader in your web application by using the Immersive Reader SDK.
@@ -58,4 +60,4 @@ Get started with Immersive Reader:
 
 * Jump into the [quickstart](./quickstart.md)
 * Explore the [Immersive Reader SDK on GitHub](https://github.com/microsoft/immersive-reader-sdk)
-* Read the [Immersive Reader SDK Reference](./reference.md)
+* Read the [Immersive Reader SDK Reference](./reference.md)

articles/cognitive-services/personalizer/what-is-personalizer.md

@@ -15,6 +15,8 @@ ms.author: diberry
 
 # What is Personalizer?
 
+[!INCLUDE [TLS 1.2 enforcement](../../../includes/cognitive-services-tls-announcement.md)]
+
 Azure Personalizer is a cloud-based API service that helps your client application choose the best, single _content_ item to show each user. The service selects the best item, from content items, based on collective real-time information you provide about content and context.
 
 After you present the content item to your user, your system monitors user behavior and reports a reward score back to Personalizer to improve its ability to select the best content based on the context information it receives.