README.md in convolver-0.3.1 vs README.md in convolver-0.3.2

@@ -1,10 +1,12 @@
 # Convolver
 
 [![Gem Version](https://badge.fury.io/rb/convolver.png)](http://badge.fury.io/rb/convolver)
 [![Build Status](https://travis-ci.org/neilslater/convolver.png?branch=master)](http://travis-ci.org/neilslater/convolver)
-[![Dependency Status](https://gemnasium.com/neilslater/convolver.png)](https://gemnasium.com/neilslater/convolver)
+[![Coverage Status](https://coveralls.io/repos/neilslater/convolver/badge.png?branch=master)](https://coveralls.io/r/neilslater/convolver?branch=master)
+[![Inline docs](http://inch-ci.org/github/neilslater/convolver.png?branch=master)](http://inch-ci.org/github/neilslater/convolver)
+[![Code Climate](https://codeclimate.com/github/neilslater/convolver.png)](https://codeclimate.com/github/neilslater/convolver)
 
 Calculates discrete convolution between two multi-dimensional arrays of floats.
 See http://en.wikipedia.org/wiki/Convolution
 
 ## Installation
@@ -49,17 +51,16 @@
  * Convolver.convolve will try to choose the faster of two approaches it has coded. In general,
 small convolutions are processed directly by multiplying out all combinations and summing them,
 and large convolutions are processed using FFTW3 to convert to frequency space where convolution
 is simpler and faster to calculate, then convert back.
 
-## Convolutional Neural Nets
-
-Code for CNNs in Ruby, based on the convolve_basic method from this gem, is planned for a
-new gem ```co_ne_ne```.
-
 ## Contributing
 
 1. Fork it
 2. Create your feature branch (`git checkout -b my-new-feature`)
 3. Commit your changes (`git commit -am 'Add some feature'`)
 4. Push to the branch (`git push origin my-new-feature`)
 5. Create new Pull Request
+
+## Contributors
+
+ * [Dima Ermilov](https://github.com/adworse) contributed fix to support compiling under Windows.