change num_steps to 10000 for XOR neural netwrok example.

test/TensorFlowNET.Examples/NeuralNetXor.cs

@@ -18,7 +18,7 @@ namespace TensorFlowNET.Examples
         public string Name => "NN XOR";
         public bool ImportGraph { get; set; } = false;
 
-        public int num_steps = 5000;
+        public int num_steps = 10000;
 
         private NDArray data;
 
@@ -55,7 +55,7 @@ namespace TensorFlowNET.Examples
             if (ImportGraph)
                 loss_value = RunWithImportedGraph();
             else
-                loss_value=RunWithBuiltGraph();
+                loss_value = RunWithBuiltGraph();
 
             return loss_value < 0.0628;
         }
@@ -96,6 +96,7 @@ namespace TensorFlowNET.Examples
                 }
                 Console.WriteLine($"Final loss: {loss_value}");
             });
+
             return loss_value;
         }
 
@@ -120,11 +121,6 @@ namespace TensorFlowNET.Examples
                 var y_ = np.array(new int[] { 1, 0, 0, 1 }, dtype: np.int32);
                 while (step < num_steps)
                 {
-                    // original python:
-                    //_, step, loss_value = sess.run(
-                    //          [train_op, gs, loss],
-                    //          feed_dict={features: xy, labels: y_}
-                    //      )
                     var result = sess.run(new ITensorOrOperation[] { train_op, gs, loss }, new FeedItem(features, data), new FeedItem(labels, y_));
                     loss_value = result[2];
                     //step = result[1];
@@ -134,6 +130,7 @@ namespace TensorFlowNET.Examples
                 }
                 Console.WriteLine($"Final loss: {loss_value}");
             });
+
             return loss_value;
         }