Merge pull request #96813 from IEvangelist/previewHeadings

[CogSvcs] Added preview suffix to h1's

Author: PRMerger17

articles/cognitive-services/Anomaly-Detector/anomaly-detector-container-howto.md

@@ -8,17 +8,17 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: anomaly-detector
 ms.topic: conceptual
-ms.date: 09/24/2019
+ms.date: 11/21/2019
 ms.author: dapine
 ---
 
-# Install and run Anomaly Detector containers
+# Install and run Anomaly Detector containers (Preview)
 
-The Anomaly Detector has the following container: 
+The Anomaly Detector has the following container feature functionality:
 
-|Function|Features|
-|-|-|
-|Anomaly detector| <li> Detects anomalies as they occur in real-time. <li> Detects anomalies throughout your data set as a batch. <li> Infers the expected normal range of your data. <li> Supports anomaly detection sensitivity adjustment to better fit your data. |
+| Function | Features |
+|--|--|
+| Anomaly detector | <li> Detects anomalies as they occur in real-time. <li> Detects anomalies throughout your data set as a batch. <li> Infers the expected normal range of your data. <li> Supports anomaly detection sensitivity adjustment to better fit your data. |
 
 For detailed information about the APIs, please see:
 * [Learn more about Anomaly Detector API service](https://go.microsoft.com/fwlink/?linkid=2080698&clcid=0x409)
@@ -87,8 +87,8 @@ docker pull containerpreview.azurecr.io/microsoft/cognitive-services-anomaly-det
 
 Once the container is on the [host computer](#the-host-computer), use the following process to work with the container.
 
-1. [Run the container](#run-the-container-with-docker-run), with the required billing settings. More [examples](anomaly-detector-container-configuration.md#example-docker-run-commands) of the `docker run` command are available. 
-1. [Query the container's prediction endpoint](#query-the-containers-prediction-endpoint). 
+1. [Run the container](#run-the-container-with-docker-run), with the required billing settings. More [examples](anomaly-detector-container-configuration.md#example-docker-run-commands) of the `docker run` command are available.
+1. [Query the container's prediction endpoint](#query-the-containers-prediction-endpoint).
 
 ## Run the container with `docker run`
 

articles/cognitive-services/Computer-vision/computer-vision-how-to-install-containers.md

@@ -8,12 +8,12 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: computer-vision
 ms.topic: conceptual
-ms.date: 11/19/2019
+ms.date: 11/21/2019
 ms.author: dapine
 ms.custom: seodec18
 ---
 
-# Install and run Read containers
+# Install and run Read containers (Preview)
 
 Containers enable you to run the Computer Vision APIs in your own environment. Containers are great for specific security and data governance requirements. In this article you'll learn how to download, install, and run a Computer Vision container.
 

articles/cognitive-services/Face/face-how-to-install-containers.md

@@ -9,11 +9,11 @@ ms.custom: seodec18
 ms.service: cognitive-services
 ms.subservice: face-api
 ms.topic: conceptual
-ms.date: 11/18/2019
+ms.date: 11/21/2019
 ms.author: dapine
 ---
 
-# Install and run Face containers
+# Install and run Face containers (Preview)
 
 Azure Cognitive Services Face provides a standardized Linux container for Docker that detects human faces in images. It also identifies attributes, which include face landmarks such as noses and eyes, gender, age, and other machine-predicted facial features. In addition to detection, Face can check if two faces in the same image or different images are the same by using a confidence score. Face also can compare faces against a database to see if a similar-looking or identical face already exists. It also can organize similar faces into groups by using shared visual traits.
 

articles/cognitive-services/Speech-Service/speech-container-howto.md

@@ -8,11 +8,11 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: speech-service
 ms.topic: conceptual
-ms.date: 11/15/2019
+ms.date: 11/21/2019
 ms.author: dapine
 ---
 
-# Install and run Speech Service containers
+# Install and run Speech Service containers (Preview)
 
 Containers enable you to run some of the Speech Service APIs in your own environment. Containers are great for specific security and data governance requirements. In this article you'll learn how to download, install, and run a Speech container.
 

articles/cognitive-services/form-recognizer/form-recognizer-container-howto.md

@@ -7,10 +7,11 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: forms-recognizer
 ms.topic: conceptual
-ms.date: 09/24/2019
+ms.date: 11/21/2019
 ms.author: dapine
 ---
-# Install and run Form Recognizer containers
+
+# Install and run Form Recognizer containers (Preview)
 
 Azure Form Recognizer applies machine learning technology to identify and extract key-value pairs and tables from forms. It associates values and table entries with the key-value pairs and then outputs structured data that includes the relationships in the original file.