diff --git a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
index a49dc6d88694a751258b98a55ed42c36f0297f01..dd2bb61424ed03f662b110445150351577942c80 100644
--- a/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
+++ b/src/main/java/be/cylab/java/wowa/training/NeuralNetwork.java
@@ -145,8 +145,6 @@ public final class NeuralNetwork {
         INDArray data_ind = Nd4j.create(data_array);
         INDArray expected_ind = Nd4j.create(expected_array);
         DataSet all_data = new DataSet(data_ind, expected_ind);
-        System.out.println("Data : " + data_ind.rows() + " lines and " + data_ind.columns() + " columns.");
-        System.out.println("Expected : " + expected_ind.rows() + " lines and " + expected_ind.columns() + " columns.");
         all_data.shuffle();
         DataNormalization normalizer = new NormalizerStandardize();
         normalizer.fit(all_data);