Blue license badge and .

README.md

@@ -3,11 +3,11 @@
 [![Documentation Status](https://img.shields.io/badge/docs-latest-brightgreen.svg?style=flat-square)](http://neuralnetslitejl.readthedocs.org/en/latest)
 [![Travis](https://img.shields.io/travis/prcastro/NeuralNetsLite.jl.svg?style=flat-square)](https://travis-ci.org/prcastro/NeuralNetsLite.jl)
 [![Coveralls](https://img.shields.io/coveralls/prcastro/NeuralNetsLite.jl.svg?style=flat-square)](https://coveralls.io/github/prcastro/NeuralNetsLite.jl?branch=master)
-[![License](http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat-square)](LICENSE.md)
+[![License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat-square)](LICENSE.md)
 
 This package provides a simple implementation of Feedforward Neural Networks.
 
-The main purpose of this package isn't to provide a fast implementation of the algorithms, but rather a general and extensible one, alongside an easy-to-read code. A simple paper explaining the concepts behind this package can be found [here](https://www.dropbox.com/s/yxlyowikizkdrut/NeuralNets_jl_Explanation.pdf?dl=0)
+The main purpose of this package isn't to provide a fast implementation of the algorithms, but rather a general and extensible one, alongside an easy-to-read code. A simple paper explaining the concepts behind this package can be found [here](https://www.dropbox.com/s/yxlyowikizkdrut/NeuralNets_jl_Explanation.pdf?dl=0).
 
 ## Installation