Update Readme (#153)

* Update Readme

* Update readme

* Update readme

README.md

 # PaddlePaddle
-[![Build Status](https://travis-ci.org/baidu/Paddle.svg?branch=master)](https://travis-ci.org/baidu/Paddle)
 
-Welcome to the PaddlePaddle GitHub.
-
-Do you wanna try and play PaddlePaddle? Just following the [Install Guide](http://www.paddlepaddle.org/doc/build/index.html) and [Quick Start](http://www.paddlepaddle.org/doc/demo/quick_start/index_en.html). The chinese version is [Install Guide](http://www.paddlepaddle.org/doc_cn/build_and_install/index.html) and [Quick Start](http://www.paddlepaddle.org/doc_cn/demo/quick_start/index.html).
+|  **`Linux`**   |
+|----------------|
+|[![Build Status](https://travis-ci.org/baidu/Paddle.svg?branch=master)](https://travis-ci.org/baidu/Paddle)|
 
-Please refer to our [release log](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. 
+Welcome to the PaddlePaddle GitHub.
 
 PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use,
 efficient, flexible and scalable deep learning platform, which is originally
 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 log](https://github.com/baidu/Paddle/releases) to track the latest feature of PaddlePaddle. 
+
 ## Features
 
 - **Flexibility**
@@ -27,11 +29,12 @@ learning to many products at Baidu.
     optimization occurs at different levels of PaddlePaddle, including
     computing, memory, architecture and communication. The following are some
     examples:
-  1. Optimized math operations through SSE/AVX intrinsics, BLAS libraries
+
+      - Optimized math operations through SSE/AVX intrinsics, BLAS libraries
       (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels. 
-  2. Highly optimized recurrent networks which can handle **variable-length** 
+      - Highly optimized recurrent networks which can handle **variable-length** 
       sequence without padding.
-  3. Optimized local and distributed training for models with high dimensional
+      - Optimized local and distributed training for models with high dimensional
       sparse data.
 
 - **Scalability**
@@ -51,10 +54,12 @@ learning to many products at Baidu.
     the capability of PaddlePaddle to make a huge impact for your product.
 
 ## Installation
-See [Installation Guide](http://paddlepaddle.org/doc/build/) to install from pre-built package or build from the source code. (Note: The installation packages are still in pre-release state and your experience of installation may not be smooth.).
+Check out the [Install Guide](http://paddlepaddle.org/doc/build/) to install from
+pre-built packages (**docker image**, **deb package**) or 
+directly build on **Linux** and **Mac OS X** from the source code.
  
 ## Documentation
-- [Chinese Documentation](http://paddlepaddle.org/doc_cn/) <br>
+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