Renamed README to .md, and added markdown formatting as well as Insta…

…llation instructions for Linux, from source.

README.md

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+# Fast Artificial Neural Network Library
+## FANN
+
+**Fast Artificial Neural Network (FANN) Library** is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.
+
+Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. 
+
+Bindings to more than 15 programming languages are available. 
+
+An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. 
+
+Several graphical user interfaces are also available for the library.
+
+## FANN Features
+
+* Multilayer Artificial Neural Network Library in C
+* Backpropagation training (RPROP, Quickprop, Batch, Incremental)
+* Evolving topology training which dynamically builds and trains the ANN (Cascade2)
+* Easy to use (create, train and run an ANN with just three function calls)
+* Fast (up to 150 times faster execution than other libraries)
+* Versatile (possible to adjust many parameters and features on-the-fly)
+* Well documented (An easy to read introduction article, a thorough reference manual, and a 50+ page university report describing the implementation considerations etc.)
+* Cross-platform (configure script for linux and unix, dll files for windows, project files for MSVC++ and Borland compilers are also reported to work)
+* Several different activation functions implemented (including stepwise linear functions for that extra bit of speed)
+* Easy to save and load entire ANNs
+* Several easy to use examples
+* Can use both floating point and fixed point numbers (actually both float, double and int are available)
+* Cache optimized (for that extra bit of speed)
+* Open source, but can still be used in commercial applications (licenced under LGPL)
+* Framework for easy handling of training data sets
+* Graphical Interfaces
+* Language Bindings to a large number of different programming languages
+* Widely used (approximately 100 downloads a day)
+
+## To Install
+
+### On Linux
+
+#### From Source
+
+First you'll want to clone the repository:
+
+`git clone https://github.com/libfann/fann.git`
+
+Once that's finished, navigate to the Root directory. In this case it would be ./fann:
+
+`cd ./fann`
+
+Then run CMake
+
+`cmake .`
+
+After that, you'll need to use elevated priviledges to install the library:
+
+`sudo make install`
+
+That's it! If everything went right, you should see a lot of text, and FANN should be installed!
+
+## To Learn More
+
+To get started with FANN, go to the [FANN help site](http://leenissen.dk/fann/wp/help/), which will include links to all the available resources. 
+
+For more information about FANN, please refer to the [FANN website](http://leenissen.dk/fann/wp/)