Update README.md (#3270)

README.md

@@ -12,11 +12,11 @@
 [![Version](https://img.shields.io/github/release/Microsoft/nni.svg)](https://github.com/Microsoft/nni/releases) [![Join the chat at https://gitter.im/Microsoft/nni](https://badges.gitter.im/Microsoft/nni.svg)](https://gitter.im/Microsoft/nni?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
 [![Documentation Status](https://readthedocs.org/projects/nni/badge/?version=latest)](https://nni.readthedocs.io/en/latest/?badge=latest)
 
-[简体中文](README_zh_CN.md)
+[NNI Doc](https://nni.readthedocs.io/) | [简体中文](README_zh_CN.md)
 
 **NNI (Neural Network Intelligence)** is a lightweight but powerful toolkit to help users **automate** <a href="docs/en_US/FeatureEngineering/Overview.rst">Feature Engineering</a>, <a href="docs/en_US/NAS/Overview.rst">Neural Architecture Search</a>, <a href="docs/en_US/Tuner/BuiltinTuner.rst">Hyperparameter Tuning</a> and <a href="docs/en_US/Compression/Overview.rst">Model Compression</a>.
 
-The tool manages automated machine learning (AutoML) experiments, **dispatches and runs** experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in **different training environments** like <a href="docs/en_US/TrainingService/LocalMode.rst">Local Machine</a>, <a href="docs/en_US/TrainingService/RemoteMachineMode.rst">Remote Servers</a>, <a href="docs/en_US/TrainingService/PaiMode.rst">OpenPAI</a>, <a href="docs/en_US/TrainingService/KubeflowMode.rst">Kubeflow</a>, <a href="docs/en_US/TrainingService/FrameworkControllerMode.rst">FrameworkController on K8S (AKS etc.)</a>, <a href="docs/en_US/TrainingService/DLTSMode.rst">DLWorkspace (aka. DLTS)</a>, <a href="docs/en_US/TrainingService/AMLMode.rst">AML (Azure Machine Learning)</a>, <a href="docs/en_US/TrainingService/AdaptDLMode.rst">AdaptDL (aka. ADL)</a> and other cloud options.
+The tool manages automated machine learning (AutoML) experiments, **dispatches and runs** experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in **different training environments** like <a href="docs/en_US/TrainingService/LocalMode.rst">Local Machine</a>, <a href="docs/en_US/TrainingService/RemoteMachineMode.rst">Remote Servers</a>, <a href="docs/en_US/TrainingService/PaiMode.rst">OpenPAI</a>, <a href="docs/en_US/TrainingService/KubeflowMode.rst">Kubeflow</a>, <a href="docs/en_US/TrainingService/FrameworkControllerMode.rst">FrameworkController on K8S (AKS etc.)</a>, <a href="docs/en_US/TrainingService/DLTSMode.rst">DLWorkspace (aka. DLTS)</a>, <a href="docs/en_US/TrainingService/AMLMode.rst">AML (Azure Machine Learning)</a>, <a href="docs/en_US/TrainingService/AdaptDLMode.rst">AdaptDL (aka. ADL)</a> , other cloud options and even <a href="docs/en_US/TrainingService/HybridMode.rst">Hybrid mode</a>.
 
 ## **Who should consider using NNI**
 
@@ -25,7 +25,8 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
 * Researchers and data scientists who want to easily **implement and experiment new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm.
 * ML Platform owners who want to **support AutoML in their platform**.
 
-### **[NNI v1.9 has been released!](https://github.com/microsoft/nni/releases) &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
+### **[NNI v2.0 has been released!](https://github.com/microsoft/nni/releases) &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>**
+
 
 ## **NNI capabilities in a glance**
 
@@ -171,6 +172,7 @@ Within the following table, we summarized the current NNI capabilities, we are g
       <ul>
         <li><a href="docs/en_US/TrainingService/LocalMode.rst">Local Machine</a></li>
         <li><a href="docs/en_US/TrainingService/RemoteMachineMode.rst">Remote Servers</a></li>
+        <li><a href="docs/en_US/TrainingService/HybridMode.rst">Hybrid mode</a></li>
         <li><a href="docs/en_US/TrainingService/AMLMode.rst">AML(Azure Machine Learning)</a></li>
         <li><b>Kubernetes based services</b></li>
         <ul>
@@ -299,12 +301,6 @@ You can use these commands to get more information about the experiment
     <th><img src="./docs/img/webui-img/full-detail.png" alt="drawing" width="410" height="300"/></th>
 </table>
 
-## **Documentation**
-
-* To learn about what's NNI, read the [NNI Overview](https://nni.readthedocs.io/en/latest/Overview.html).
-* To get yourself familiar with how to use NNI, read the [documentation](https://nni.readthedocs.io/en/latest/index.html).
-* To get started and install NNI on your system, please refer to [Install NNI](https://nni.readthedocs.io/en/latest/installation.html).
-
 ## **Contributing**
 This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.