Write the README.md for Synopsys Caffe

Author: vera121

README.md

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+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  
+------------  
+Please check out the prerequisites and read the detailed notes at the [BVLC Caffe project site](http://caffe.berkeleyvision.org/installation.html) at first.  
+  
+Extra steps and explanations for Synopsys Caffe installation:  
+- 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.  
+- Windows: See detailed installation instructions [here](https://github.com/BVLC/caffe/blob/windows/README.md).  
+  
+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)  
+- [SSD](https://github.com/weiliu89/caffe/tree/ssd)  
+- [FlowNet2](https://github.com/lmb-freiburg/flownet2)  
+- [SRGAN](https://github.com/ShenghaiRong/caffe_srgan)  
+- [ICNet(PSPNet)](https://github.com/hszhao/ICNet)