Merge pull request #12 from dwiel/patch-1

fix link to eigin.tuxfamily.org

Author: zer0n

README.md

@@ -110,7 +110,7 @@ Caffe is C++ based, which can be compiled on a variety of devices. It is cross-p
 Like Caffe, CNTK is also C++ based and is cross-platform. Hence, deployment should be easy in most cases. However, to my understanding, it doesn't work on ARM architecture, which limits its its capability on mobile devices. 
 
 #### TensorFlow <img src="http://www.wpclipart.com/signs_symbol/stars/5_star_rating_system/.cache/5_Star_Rating_System_4_and_a_half_stars.png">
-TF supports C++ interface and the library can be compiled/optimized on ARM architectures because it uses [Eigen](eigen.tuxfamily.org) (instead of a BLAS library). This means that you can deploy your trained models on a variety of devices (servers or mobile devices) without having to implement a separate model decoder or load Python/LuaJIT interpreter [3].
+TF supports C++ interface and the library can be compiled/optimized on ARM architectures because it uses [Eigen](http://eigen.tuxfamily.org) (instead of a BLAS library). This means that you can deploy your trained models on a variety of devices (servers or mobile devices) without having to implement a separate model decoder or load Python/LuaJIT interpreter [3].
 
 TF doesn't work on Windows yet so TF models can't be deployed on Windows devices though.
 
@@ -204,4 +204,4 @@ ___
 
 [2] Disclaimer: I haven’t analyzed this extension carefully.
 
-[3] See my [blog post](http://www.kentran.net/2014/12/challenges-in-machine-learning-practice.html) for why this is desirable.
+[3] See my [blog post](http://www.kentran.net/2014/12/challenges-in-machine-learning-practice.html) for why this is desirable.