add nb_example data

Author: PppBr

TensorFlow.NET.sln

@@ -17,8 +17,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Keras.UnitTest", "test\Kera
 EndProject
 Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "TensorFlowNET.Examples.FSharp", "test\TensorFlowNET.Examples.FSharp\TensorFlowNET.Examples.FSharp.fsproj", "{62BC3801-F0D3-44A9-A0AC-712F40C8F961}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NumSharp.Core", "..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj", "{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}"
-EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -53,10 +51,6 @@ Global
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.Build.0 = Release|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE

data/nb_example.npy

@@ -62,10 +62,6 @@ Docs: https://tensorflownet.readthedocs.io</Description>
     <Folder Include="Keras\Initializers\" />
   </ItemGroup>
 
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj" />
-  </ItemGroup>
-
   <ItemGroup>
     <Reference Include="NumSharp.Core">
       <HintPath>..\..\..\..\NumSharp\src\NumSharp.Core\bin\Debug\netstandard2.0\NumSharp.Core.dll</HintPath>

src/TensorFlowNET.Core/TensorFlowNET.Core.csproj

@@ -5,6 +5,8 @@
 using NumSharp;
 using System.Linq;
 using static Tensorflow.Python;
+using System.IO;
+using TensorFlowNET.Examples.Utility;
 
 namespace TensorFlowNET.Examples
 {
@@ -34,10 +36,10 @@ public bool Run()
             var (xx, yy) = np.meshgrid(np.linspace(x_min, x_max, 30), np.linspace(y_min, y_max, 30));
             with(tf.Session(), sess =>
             {
-                var samples = np.vstack<float>(xx.ravel(), yy.ravel());
-                samples = np.transpose(samples);
-                var array = np.Load<double[,]>("H:\\PythonApplication1\\PythonApplication1\\data.npy");
-                samples = np.array(array).astype(np.float32);
+                //var samples = np.vstack<float>(xx.ravel(), yy.ravel());
+                //samples = np.transpose(samples);
+                var array = np.Load<double[,]>(Path.Join("nb", "nb_example.npy"));
+                var samples = np.array(array).astype(np.float32);
                 var Z = sess.run(predict(samples));
             });
 
@@ -170,6 +172,10 @@ public void PrepareData()
                         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
                         2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
                         2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2);
+
+
+            string url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/data/nb_example.npy";
+            Web.Download(url, "nb", "nb_example.npy");
             #endregion
         }