Add detailed building steps for windows platform

Author: vera121

README.md

@@ -1,24 +1,28 @@
-Synopsys Caffe  
-==============  
-  
+# Synopsys Caffe    
 Synopsys Caffe is a modified version of the popular [Caffe Deep Learning framework](http://caffe.berkeleyvision.org/) adapted for use with DesignWare EV6x Processors.  
 It combines multiple customized branches and includes a large range of patches to support diverse models. See [FEATURES.md](https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe/blob/master/FEATURES.md) for a short overview.  
 
-Installation  
-------------  
+## Installation  
 Please check out the prerequisites and read the detailed notes at the [BVLC Caffe Installation](http://caffe.berkeleyvision.org/installation.html) at first.  
 
-Extra steps and explanations for Synopsys Caffe installation:  
-Note: Please checkout the **master** branch for build on both platforms. The windows branch is deprecated, please do not use it.
-- Linux: Please follow the [instructions](https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe/commit/10169e55f4d460c52067792d5f36b9113fa9a705#comments) to install and set the **matio** support before building Caffe.  
-- Windows: See detailed installation instructions [here](https://github.com/BVLC/caffe/blob/windows/README.md).  
-  Note:   
-  1. Download the Visual Studio 2015 Update 3. Choose to install the support for visual C++ instead of applying the default settings.
-  2. After installing the python, please use “pip install numpy” to install the **numpy** package before building Caffe.
-  3. The caffe.exe is created at synopsys-caffe\build\tools\Release after a successful build.
+### Linux  
+Please follow the [instructions](https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe/commit/10169e55f4d460c52067792d5f36b9113fa9a705#comments) to install and set the **matio** support before building Caffe.  
+### Windows   
+A simple guide:
+1. Download the Visual Studio 2015 Update 3. Choose to install the support for visual C++ instead of applying the default settings.
+2. Install the CMake 3.4 or higher. Install Python 2.7 or 3.5. Add cmake.exe and python.exe to your PATH.
+3. After installing the Python, please open a `cmd` prompt and use `pip install numpy` to install the **numpy** package.  
+4. Checkout the Synopsys Caffe **master** branch for build. The windows branch is deprecated, please do not use it. We use `C:\Projects` as the current folder for the following instructions.
+```cmd
+C:\Projects> git clone https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe.git
+C:\Projects> cd synopsys-caffe
+:: Edit any of the options inside build_win.cmd to suit your needs
+C:\Projects\synopsys-caffe> scripts\build_win.cmd
+:: If no errors occurs, the caffe.exe will be created at C:\Projects\synopsys-caffe\build\tools\Release after a successful build.
+```
+Other detailed installation instructions can be found [here](https://github.com/BVLC/caffe/blob/windows/README.md).  
 
-Reference for different Distributions  
--------------------------------------  
+## Reference for different Distributions    
 Synopsys Caffe support the features introduced in following customized branches. Here are some links to the original demos, tutorials and models usage:  
 - [SegNet](https://github.com/alexgkendall/caffe-segnet)  
 - [Faster RCNN](https://github.com/rbgirshick/py-faster-rcnn)