Encourage users to file Github issues instead of emails.

README.md

@@ -14,7 +14,7 @@ developed by Baidu scientists and engineers for the purpose of applying deep
 learning to many products at Baidu.
 
 Our vision is to enable deep learning for everyone via PaddlePaddle.
-Please refer to our [release announcement](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. 
+Please refer to our [release announcement](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle.
 
 ## Features
 
@@ -26,15 +26,15 @@ Please refer to our [release announcement](https://github.com/baidu/Paddle/relea
     connection.
 
 -  **Efficiency**
-  
+
     In order to unleash the power of heterogeneous computing resource,
     optimization occurs at different levels of PaddlePaddle, including
     computing, memory, architecture and communication. The following are some
     examples:
 
       - Optimized math operations through SSE/AVX intrinsics, BLAS libraries
-      (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels. 
-      - Highly optimized recurrent networks which can handle **variable-length** 
+      (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels.
+      - Highly optimized recurrent networks which can handle **variable-length**
       sequence without padding.
       - Optimized local and distributed training for models with high dimensional
       sparse data.
@@ -57,41 +57,39 @@ Please refer to our [release announcement](https://github.com/baidu/Paddle/relea
 
 ## Installation
 Check out the [Install Guide](http://paddlepaddle.org/doc/build/) to install from
-pre-built packages (**docker image**, **deb package**) or 
+pre-built packages (**docker image**, **deb package**) or
 directly build on **Linux** and **Mac OS X** from the source code.
- 
+
 ## Documentation
 Both [English Docs](http://paddlepaddle.org/doc/) and [Chinese Docs](http://paddlepaddle.org/doc_cn/) are provided for our users and developers.
 
 - [Quick Start](http://paddlepaddle.org/doc/demo/quick_start/index_en) <br>
    You can follow the quick start tutorial to learn how use PaddlePaddle
    step-by-step.
-    
+
 - [Example and Demo](http://paddlepaddle.org/doc/demo/) <br>
    We provide five demos, including: image classification, sentiment analysis,
-   sequence to sequence model, recommendation, semantic role labeling. 
-   
+   sequence to sequence model, recommendation, semantic role labeling.
+
 - [Distributed Training](http://paddlepaddle.org/doc/cluster) <br>
   This system supports training deep learning models on multiple machines
   with data parallelism.
-   
+
 - [Python API](http://paddlepaddle.org/doc/ui/) <br>
    PaddlePaddle supports using either Python interface or C++ to build your
    system. We also use SWIG to wrap C++ source code to create a user friendly
    interface for Python. You can also use SWIG to create interface for your
    favorite programming language.
- 
+
 - [How to Contribute](http://paddlepaddle.org/doc/build/contribute_to_paddle.html) <br>
    We sincerely appreciate your interest and contributions. If you would like to
-   contribute, please read the contribution guide.   
+   contribute, please read the contribution guide.
 
 - [Source Code Documents](http://paddlepaddle.org/doc/source/) <br>
 
 ## Ask Questions
-Please join the [**gitter chat**](https://gitter.im/PaddlePaddle/Deep_Learning) or send email to
-**paddle-dev@baidu.com** to ask questions and talk about methods and models.
-Framework development discussions and
-bug reports are collected on [Issues](https://github.com/baidu/paddle/issues).
+
+You are welcome to submit questions and bug reports as [Github Issues](https://github.com/baidu/paddle/issues).
 
 ## Copyright and License
 PaddlePaddle is provided under the [Apache-2.0 license](LICENSE).