Upgrade library.

Author: Oceania2018

src/SharpCV.Examples/SharpCV.Examples.csproj

@@ -9,8 +9,8 @@
 
   <ItemGroup>
     <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.4.0.20200915" />
-    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="2.11.3" />
-    <PackageReference Include="SharpCV" Version="0.13.0" />
+    <PackageReference Include="SciSharp.TensorFlow.Redist" Version="2.11.4" />
+    <PackageReference Include="SharpCV" Version="0.13.1" />
   </ItemGroup>
 
 </Project>

src/TensorFlowNET.Examples/NeuralNetworks/NeuralNetXorKeras.cs

@@ -50,8 +50,8 @@ public bool Run()
         model.compile(optimizer: keras.optimizers.Adam(),
             loss: keras.losses.MeanSquaredError(),
             new[] { "accuracy" });
-        model.fit(x, y, batch_size: 4, epochs: 50);
-        model.evaluate(tf.constant(x), tf.constant(y));
+        model.fit(x, y, batch_size: 4, epochs: 200);
+        model.evaluate(x, y);
         Tensor result = model.predict(x, 4);
         return result.ToArray<float>() is [< 0.5f, > 0.5f, > 0.5f, < 0.5f];
     }

src/TensorFlowNET.Examples/TensorFlowNET.Examples.csproj

@@ -49,20 +49,17 @@
   <ItemGroup>
     <PackageReference Include="Colorful.Console" Version="1.2.15" />
     <PackageReference Include="OpenCvSharp4.runtime.win" Version="4.4.0.20200915" />
-    <PackageReference Include="SciSharp.Models.ImageClassification" Version="0.5.0" />
-    <PackageReference Include="SciSharp.Models.ObjectDetection" Version="0.2.0" />
-    <PackageReference Include="SciSharp.Models.TimeSeries" Version="0.3.0" />
+    <PackageReference Include="SciSharp.Models.ImageClassification" Version="0.6.0" />
+    <PackageReference Include="SciSharp.Models.ObjectDetection" Version="0.3.0" />
+    <PackageReference Include="SciSharp.Models.TimeSeries" Version="0.4.1" />
     <PackageReference Include="SciSharp.TensorFlow.Redist" Version="2.11.4" Condition="'$(Configuration)'!='GPU'" />
-    <PackageReference Include="SciSharp.TensorFlow.Redist-Windows-GPU" Version="2.10.2" Condition="'$(Configuration)'=='GPU'" />
+    <PackageReference Include="SciSharp.TensorFlow.Redist-Windows-GPU" Version="2.10.3" Condition="'$(Configuration)'=='GPU'" />
     <PackageReference Include="System.Drawing.Common" Version="7.0.0" />
-    <PackageReference Include="TensorFlow.Keras" Version="0.10.5" />
+    <PackageReference Include="TensorFlow.Keras" Version="0.11.1" />
+    <PackageReference Include="TensorFlow.NET" Version="0.110.1" />
   </ItemGroup>
 
   <ItemGroup>
     <Folder Include="TextProcessing\NER\" />
   </ItemGroup>
-
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\TensorFlow.NET\src\TensorFlowNET.Keras\Tensorflow.Keras.csproj" />
-  </ItemGroup>
 </Project>

src/TensorFlowNET.Examples/TimeSeries/WeatherPrediction.cs

@@ -32,6 +32,7 @@ public bool Run()
         task.SetModelArgs(new TimeSeriesModelArgs
         {
             InputWidth = 3,
+            LabelWidth = 1,
             LabelColumns = new[] { "T (degC)" }
         });
         (training_ds, val_ds, test_ds) = task.GenerateDataset(PrepareData);