diff --git a/test/TensorFlowNET.Examples/LogisticRegression.cs b/test/TensorFlowNET.Examples/LogisticRegression.cs
index 248cce31..65025008 100644
--- a/test/TensorFlowNET.Examples/LogisticRegression.cs
+++ b/test/TensorFlowNET.Examples/LogisticRegression.cs
@@ -53,7 +53,6 @@ namespace TensorFlowNET.Examples
 
             return with(tf.Session(), sess =>
             {
-                
                 // Run the initializer
                 sess.run(init);
 
@@ -71,7 +70,7 @@ namespace TensorFlowNET.Examples
                             new FeedItem(x, batch_xs),
                             new FeedItem(y, batch_ys));
 
-                        var c = (float)result[1];
+                        float c = result[1];
                         // Compute average loss
                         avg_cost += c / total_batch;
                     }
diff --git a/test/TensorFlowNET.Examples/Utility/MnistDataSet.cs b/test/TensorFlowNET.Examples/Utility/MnistDataSet.cs
index 2ae1956a..e0e7c0ee 100644
--- a/test/TensorFlowNET.Examples/Utility/MnistDataSet.cs
+++ b/test/TensorFlowNET.Examples/Utility/MnistDataSet.cs
@@ -96,7 +96,7 @@ namespace TensorFlowNET.Examples.Utility
             for(int row = 0; row < num_labels; row++)
             {
                 var col = labels_dense.Data<byte>(row);
-                labels_one_hot[row, col] = 1;
+                labels_one_hot.SetData(1, row, col);
             }
 
             return labels_one_hot;