diff --git a/test/TensorFlowNET.Examples/NeuralNetXor.cs b/test/TensorFlowNET.Examples/NeuralNetXor.cs
index 15785115..a2dce69b 100644
--- a/test/TensorFlowNET.Examples/NeuralNetXor.cs
+++ b/test/TensorFlowNET.Examples/NeuralNetXor.cs
@@ -16,7 +16,7 @@ namespace TensorFlowNET.Examples
         public int Priority => 10;
         public bool Enabled { get; set; } = true;
         public string Name => "NN XOR";
-        public bool ImportGraph { get; set; } = false;
+        public bool ImportGraph { get; set; } = true;
 
         public int num_steps = 5000;
 
@@ -57,7 +57,7 @@ namespace TensorFlowNET.Examples
             else
                 loss_value=RunWithBuiltGraph();
 
-            return loss_value < 0.0627;
+            return loss_value < 0.0628;
         }
 
         private float RunWithImportedGraph()
diff --git a/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs b/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
index c0b4eb1f..b134fbde 100644
--- a/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
+++ b/test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs
@@ -40,12 +40,11 @@ namespace TensorFlowNET.ExamplesTests
             new InceptionArchGoogLeNet() { Enabled = true }.Run();
         }
 
-        [Ignore]
         [TestMethod]
         public void KMeansClustering()
         {
             tf.Graph().as_default();
-            new KMeansClustering() { Enabled = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Run();
+            new KMeansClustering() { Enabled = true, ImportGraph = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Run();
         }
 
         [TestMethod]
@@ -109,15 +108,20 @@ namespace TensorFlowNET.ExamplesTests
             new TextClassificationWithMovieReviews() { Enabled = true }.Run();
         }
 
-        [Ignore("Loss function optimization is not working yet")]
         [TestMethod]
         public void NeuralNetXor()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new NeuralNetXor() { Enabled = true }.Run());
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, ImportGraph = false }.Run());
+        }
+
+        [TestMethod]
+        public void NeuralNetXor_ImportedGraph()
+        {
+            tf.Graph().as_default();
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, ImportGraph = true }.Run());
         }
 
-        
 
     }
 }