1: Start example of Full Connected Neural Network.

2: Upgrade Microsoft.ML.TensorFlow.Redist to v1.14.

src/TensorFlowNET.Core/TensorFlowNET.Core.csproj

@@ -54,7 +54,7 @@ Docs: https://tensorflownet.readthedocs.io</Description>
 
   <ItemGroup>
     <PackageReference Include="Google.Protobuf" Version="3.8.0" />
-    <PackageReference Include="Microsoft.ML.TensorFlow.Redist" Version="0.13.0" />
+    <PackageReference Include="Microsoft.ML.TensorFlow.Redist" Version="0.14.0" />
     <PackageReference Include="NumSharp" Version="0.10.3" />
   </ItemGroup>
 

test/KerasNET.Test/Keras.UnitTest.csproj

@@ -26,7 +26,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.2.0" />
     <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
     <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
   </ItemGroup>

test/TensorFlowNET.Examples/ImageProcess/DigitRecognitionNN.cs

@@ -0,0 +1,63 @@
+using System;
+using System.Collections.Generic;
+using System.Text;
+using Tensorflow;
+using TensorFlowNET.Examples.Utility;
+
+namespace TensorFlowNET.Examples.ImageProcess
+{
+    /// <summary>
+    /// Neural Network classifier for Hand Written Digits
+    /// Sample Neural Network architecture with two layers implemented for classifying MNIST digits
+    /// http://www.easy-tensorflow.com/tf-tutorials/neural-networks
+    /// </summary>
+    public class DigitRecognitionNN : IExample
+    {
+        public bool Enabled { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = false;
+
+        public string Name => "Digits Recognition Neural Network";
+
+        const int img_h = 28;
+        const int img_w = 28;
+        int img_size_flat = img_h * img_w; // 784, the total number of pixels
+        int n_classes = 10; // Number of classes, one class per digit
+        int training_epochs = 10;
+        int? train_size = null;
+        int validation_size = 5000;
+        int? test_size = null;
+        int batch_size = 100;
+        Datasets mnist;
+
+        public bool Run()
+        {
+            PrepareData();
+            return true;
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
+
+        public void PrepareData()
+        {
+            mnist = MnistDataSet.read_data_sets("mnist", one_hot: true, train_size: train_size, validation_size: validation_size, test_size: test_size);
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+    }
+}

test/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj

@@ -17,7 +17,7 @@
     <PackageReference Include="Newtonsoft.Json" Version="12.0.2" />
     <PackageReference Include="SharpZipLib" Version="1.1.0" />
     <PackageReference Include="System.Drawing.Common" Version="4.5.1" />
-    <PackageReference Include="TensorFlow.NET" Version="0.8.2" />
+    <PackageReference Include="TensorFlow.NET" Version="0.8.3" />
   </ItemGroup>
 
   <ItemGroup>

test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs

@@ -61,11 +61,6 @@ namespace TensorFlowNET.Examples
             valid_y = y[new Slice(start: train_size)];
             Console.WriteLine("\tDONE");
 
-            train_x = np.Load<int[,]>(Path.Join("word_cnn", "train_x.npy"));
-            valid_x = np.Load<int[,]>(Path.Join("word_cnn", "valid_x.npy"));
-            train_y = np.Load<int[]>(Path.Join("word_cnn", "train_y.npy"));
-            valid_y = np.Load<int[]>(Path.Join("word_cnn", "valid_y.npy"));
-
             return (train_x, valid_x, train_y, valid_y);
         }
 

test/TensorFlowNET.UnitTest/TensorFlowNET.UnitTest.csproj

@@ -16,7 +16,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.2.0" />
     <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
     <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
   </ItemGroup>