Ubuntu install instructions

Author: amten

README.md

@@ -9,10 +9,9 @@ Java (convolutional or fully-connected) neural network implementation with plugi
 Go to https://github.com/amten/NeuralNetwork/releases/latest to find the latest release. Download the files NeuralNetwork.zip and BLAS-dlls.zip. 
 In Weka, go to Tools/Package Manager and press the "File/URL" button. Browse to the NeuralNetwork.zip file and press "ok".
 
-**Important!** For optimal performance on Windows, you need to copy native matrix library dll-files to Wekas install dir.
-Unzip the BLAS-dlls.zip file to Wekas install dir (".../Program Files/Weka-3-7").
-
-For Linux, native matrix library files have not been tested, though it should be possible to install using instructions given [here] (https://github.com/fommil/netlib-java#linux)
+**Important!** For optimal performance, you need to install native matrix library files.
+Windows: Unzip the BLAS-dlls.zip file to Wekas install dir (".../Program Files/Weka-3-7").
+Ubuntu: Run "sudo apt-get install libatlas3-base libopenblas-base" in a terminal window.
 
 ### Standalone
 
@@ -22,10 +21,9 @@ Go to https://github.com/amten/NeuralNetwork/releases/latest to find the latest
 
 Include the files NeuralNetwork.jar, lib/mtj-1.0-snapshot.jar, lib/opencsv-2.3.jar in your classpath.
 
-**Important!** For optimal performance on Windows, you need to copy native matrix library dll-files to the directory where you execute your application, or any other directory in the PATH.
-Unzip the BLAS-dlls.zip to that directory.
-
-For Linux, native matrix library files have not been tested, though it should be possible to install using instructions given [here] (https://github.com/fommil/netlib-java#linux)
+**Important!** For optimal performance, you need to install native matrix library files.
+Windows: Unzip the BLAS-dlls.zip file to the directory where you execute your application, or any other directory in the PATH.
+Ubuntu: Run "sudo apt-get install libatlas3-base libopenblas-base" in a terminal window.
 
 ## Usage