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README.md

 # nGraph library
 
-Welcome to Intel® nGraph™, an open source C++ library and compiler. This 
-project enables modern compute platforms to run and train Deep Neural Network 
-(DNN) models. It is framework-neutral and supports a variety of backends 
-used by Deep Learning (DL) frameworks. 
-
-![nGraph ecosystem][ngraph-ecosystem]
-
+Welcome to Intel® nGraph™, an open source C++ library and
+compiler. This project enables modern compute platforms to run and
+train Deep Neural Network (DNN) models. It is framework-neutral and
+supports a variety of backends used by Deep Learning (DL) frameworks.
+
+The nGraph library translates a framework’s representation of
+computations into an Intermediate Representation (IR) designed to
+promote computational efficiency on target
+hardware. Initially-supported backends include Intel Architecture
+CPUs, the Intel® Nervana Neural Network Processor™ (NNP), and NVIDIA\*
+GPUs.  Currently-supported compiler optimizations include efficient
+memory management and data layout abstraction.
 
 ## Documentation
 
 See our [install] docs for how to get started. 
 
 For this early release, we provide [framework integration guides] to compile 
-MXNet and TensorFlow-based projects.  If you already have a trained model, we've
-put together a getting started guide for [how to import] a deep learning model 
-and start working with the nGraph APIs.  
-
-<<<<<<< HEAD
-[install]: http://ngraph.nervanasys.com/index.html/install.html
-[framework integration guides]: http://ngraph.nervanasys.com/index.html/framework-integration-guides.html
-[how to import]: http://ngraph.nervanasys.com/index.html/howto/import.html
-=======
+MXNet and TensorFlow-based projects.  
+
 ## Support
 
-Please submit your questions, feature requests and bug reports via [GitHub issues].
+Please submit your questions, feature requests and bug reports via
+[GitHub issues].
 
 ## How to Contribute
 
-We welcome community contributions to nGraph. If you have an idea how to improve the library:
+We welcome community contributions to nGraph. If you have an idea how
+to improve the library:
 
 * Share your proposal via [GitHub issues].
 * Ensure you can build the product and run all the examples with your patch
@@ -40,4 +40,5 @@ We welcome community contributions to nGraph. If you have an idea how to improve
 
 [install]: http://ngraph.nervanasys.com/docs/latest/install.html
 [framework integration guides]: http://ngraph.nervanasys.com/docs/latest/framework-integration-guides.html
-[ngraph-ecosystem]: http://ngraph.nervanasys.com/index.html/_images/ngraph-ecosystem.png "nGraph Ecosystem"
+[Github issues]: https://github.com/NervanaSystems/ngraph/issues
+[pull request]: https://github.com/NervanaSystems/ngraph/pulls