diff --git a/src/TensorFlowNET.Core/Train/tf.optimizers.cs b/src/TensorFlowNET.Core/Train/tf.optimizers.cs
index 95ab868a..ee8c4525 100644
--- a/src/TensorFlowNET.Core/Train/tf.optimizers.cs
+++ b/src/TensorFlowNET.Core/Train/tf.optimizers.cs
@@ -13,7 +13,7 @@ namespace Tensorflow
             public static Optimizer GradientDescentOptimizer(float learning_rate) 
                 => new GradientDescentOptimizer(learning_rate);
 
-            public static Optimizer AdamOptimizer(float learning_rate, string name = null) 
+            public static Optimizer AdamOptimizer(float learning_rate, string name = "Adam") 
                 => new AdamOptimizer(learning_rate, name: name);
 
             public static Saver Saver(VariableV1[] var_list = null) => new Saver(var_list: var_list);
diff --git a/test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs b/test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs
index 0f88b869..58e57065 100644
--- a/test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs
+++ b/test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs
@@ -22,7 +22,7 @@ namespace TensorFlowNET.Examples
         public bool Enabled { get; set; } = true;
         public string Name => "CNN Text Classification";
         public int? DataLimit = null;
-        public bool IsImportingGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = false;
 
         private const string dataDir = "word_cnn";
         private string dataFileName = "dbpedia_csv.tar.gz";
@@ -304,7 +304,6 @@ namespace TensorFlowNET.Examples
         public bool Train()
         {
             var graph = IsImportingGraph ? ImportGraph() : BuildGraph();
-            // string json = JsonConvert.SerializeObject(graph, Formatting.Indented);
             return with(tf.Session(graph), sess => Train(sess, graph));
         }