diff --git a/src/TensorFlowNET.Core/Train/tf.optimizers.cs b/src/TensorFlowNET.Core/APIs/tf.train.cs
similarity index 95%
rename from src/TensorFlowNET.Core/Train/tf.optimizers.cs
rename to src/TensorFlowNET.Core/APIs/tf.train.cs
index 0c801f90..6d8a9935 100644
--- a/src/TensorFlowNET.Core/Train/tf.optimizers.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.train.cs
@@ -31,6 +31,9 @@ namespace Tensorflow
             public Optimizer AdamOptimizer(float learning_rate, string name = "Adam") 
                 => new AdamOptimizer(learning_rate, name: name);
 
+            public object ExponentialMovingAverage(float decay)
+                => new ExponentialMovingAverage(decay);
+
             public Saver Saver(VariableV1[] var_list = null) => new Saver(var_list: var_list);
 
             public string write_graph(Graph graph, string logdir, string name, bool as_text = true) 
diff --git a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
index abd6e1bf..be1ba3ac 100644
--- a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
+++ b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
@@ -17,10 +17,10 @@
     <PackageTags>TensorFlow, NumSharp, SciSharp, MachineLearning, TensorFlow.NET, C#</PackageTags>
     <Description>Google's TensorFlow full binding in .NET Standard.
 Docs: https://tensorflownet.readthedocs.io</Description>
-    <AssemblyVersion>0.11.10.0</AssemblyVersion>
+    <AssemblyVersion>0.11.0.0</AssemblyVersion>
     <PackageReleaseNotes>Changes since v0.10.0:</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
-    <FileVersion>0.11.10.0</FileVersion>
+    <FileVersion>0.11.0.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>
diff --git a/src/TensorFlowNET.Core/Train/ExponentialMovingAverage.cs b/src/TensorFlowNET.Core/Train/ExponentialMovingAverage.cs
new file mode 100644
index 00000000..81e491ac
--- /dev/null
+++ b/src/TensorFlowNET.Core/Train/ExponentialMovingAverage.cs
@@ -0,0 +1,36 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace Tensorflow.Train
+{
+    public class ExponentialMovingAverage
+    {
+        float _decay;
+        int? _num_updates;
+        bool _zero_debias;
+        string _name;
+        public string name => _name;
+
+        public ExponentialMovingAverage(float decay, int? num_updates = null, bool zero_debias = false,
+            string name = "ExponentialMovingAverage")
+        {
+            _decay = decay;
+            _num_updates = num_updates;
+            _zero_debias = zero_debias;
+            _name = name;
+        }
+
+        /// <summary>
+        /// Maintains moving averages of variables.
+        /// </summary>
+        /// <param name="var_list"></param>
+        /// <returns></returns>
+        public Operation apply(VariableV1[] var_list = null)
+        {
+            throw new NotImplementedException("");
+        }
+
+
+    }
+}
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/YOLO/Main.cs b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/Main.cs
new file mode 100644
index 00000000..8a88225a
--- /dev/null
+++ b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/Main.cs
@@ -0,0 +1,103 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Text;
+using Tensorflow;
+using static Tensorflow.Binding;
+
+namespace TensorFlowNET.Examples.ImageProcessing.YOLO
+{
+    /// <summary>
+    /// Implementation of YOLO v3 object detector in Tensorflow
+    /// https://github.com/YunYang1994/tensorflow-yolov3
+    /// </summary>
+    public class Main : IExample
+    {
+        public bool Enabled { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = false;
+
+        public string Name => "YOLOv3";
+
+        Dictionary<int, string> classes;
+        Config config;
+
+        Tensor input_data;
+        Tensor label_sbbox;
+        Tensor label_mbbox;
+        Tensor label_lbbox;
+        Tensor true_sbboxes;
+        Tensor true_mbboxes;
+        Tensor true_lbboxes;
+        Tensor trainable;
+
+        public bool Run()
+        {
+            PrepareData();
+
+            var graph = IsImportingGraph ? ImportGraph() : BuildGraph();
+
+            using (var sess = tf.Session(graph))
+            {
+                Train(sess);
+            }
+
+            return true;
+        }
+
+        public void Train(Session sess)
+        {
+
+        }
+
+        public void Test(Session sess)
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            var graph = new Graph().as_default();
+
+            tf_with(tf.name_scope("define_input"), scope =>
+            {
+                input_data = tf.placeholder(dtype: tf.float32, name: "input_data");
+                label_sbbox = tf.placeholder(dtype: tf.float32, name: "label_sbbox");
+                label_mbbox = tf.placeholder(dtype: tf.float32, name: "label_mbbox");
+                label_lbbox = tf.placeholder(dtype: tf.float32, name: "label_lbbox");
+                true_sbboxes = tf.placeholder(dtype: tf.float32, name: "sbboxes");
+                true_mbboxes = tf.placeholder(dtype: tf.float32, name: "mbboxes");
+                true_lbboxes = tf.placeholder(dtype: tf.float32, name: "lbboxes");
+                trainable = tf.placeholder(dtype: tf.@bool, name: "training");
+            });
+
+            tf_with(tf.name_scope("define_loss"), scope =>
+            {
+                //model = new YOLOv3(input_data, trainable);
+            });
+
+            return graph;
+        }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public void Predict(Session sess)
+        {
+            throw new NotImplementedException();
+        }
+
+        public void PrepareData()
+        {
+            config = new Config(Name);
+
+            string dataDir = Path.Combine(Name, "data");
+            Directory.CreateDirectory(dataDir);
+
+            classes = new Dictionary<int, string>();
+            foreach (var line in File.ReadAllLines(config.CLASSES))
+                classes[classes.Count] = line;
+        }
+    }
+}
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/YOLO/YOLOv3.cs b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/YOLOv3.cs
new file mode 100644
index 00000000..3036cc0d
--- /dev/null
+++ b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/YOLOv3.cs
@@ -0,0 +1,10 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+
+namespace TensorFlowNET.Examples.ImageProcessing.YOLO
+{
+    public class YOLOv3
+    {
+    }
+}
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/YOLO/config.cs b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/config.cs
new file mode 100644
index 00000000..3d9105ed
--- /dev/null
+++ b/test/TensorFlowNET.Examples/ImageProcessing/YOLO/config.cs
@@ -0,0 +1,19 @@
+using System;
+using System.Collections.Generic;
+using System.IO;
+using System.Text;
+
+namespace TensorFlowNET.Examples.ImageProcessing.YOLO
+{
+    public class Config
+    {
+        string _root;
+        public string CLASSES;
+
+        public Config(string root)
+        {
+            _root = root;
+            CLASSES = Path.Combine(_root, "data", "classes", "coco.names");
+        }
+    }
+}
diff --git a/test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj b/test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj
index f4e2340a..c675bedc 100644
--- a/test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj
+++ b/test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj
@@ -6,6 +6,10 @@
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
   </PropertyGroup>
 
+  <PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
+    <DefineConstants>DEBUG;TRACE</DefineConstants>
+  </PropertyGroup>
+
   <ItemGroup>
     <PackageReference Include="Colorful.Console" Version="1.2.9" />
     <PackageReference Include="Newtonsoft.Json" Version="12.0.2" />