diff --git a/src/TensorFlowNET.Core/Keras/IInitializersApi.cs b/src/TensorFlowNET.Core/Keras/IInitializersApi.cs
index ff92040e..3ad5e87b 100644
--- a/src/TensorFlowNET.Core/Keras/IInitializersApi.cs
+++ b/src/TensorFlowNET.Core/Keras/IInitializersApi.cs
@@ -7,5 +7,7 @@ namespace Tensorflow.Keras
     public interface IInitializersApi
     {
         IInitializer Orthogonal(float gain = 1.0f, int? seed = null);
+
+        IInitializer HeNormal(int? seed = null);
     }
 }
diff --git a/src/TensorFlowNET.Core/Tensorflow.Binding.csproj b/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
index 0ebe61d0..4c42cb8c 100644
--- a/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
+++ b/src/TensorFlowNET.Core/Tensorflow.Binding.csproj
@@ -1,11 +1,11 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <TargetFramework>netstandard2.0</TargetFramework>
+    <TargetFrameworks>netstandard2.0;net6.0</TargetFrameworks>
     <AssemblyName>Tensorflow.Binding</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
-    <TargetTensorFlow>2.2.0</TargetTensorFlow>
-    <Version>0.100.0</Version>
+    <TargetTensorFlow>2.10.0</TargetTensorFlow>
+    <Version>0.100.1</Version>
     <LangVersion>10.0</LangVersion>
     <Nullable>enable</Nullable>
     <Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
@@ -20,7 +20,7 @@
     <Description>Google's TensorFlow full binding in .NET Standard.
 Building, training and infering deep learning models.
 https://tensorflownet.readthedocs.io</Description>
-    <AssemblyVersion>0.100.0.0</AssemblyVersion>
+    <AssemblyVersion>0.100.1.0</AssemblyVersion>
     <PackageReleaseNotes>
 		tf.net 0.100.x and above are based on tensorflow native 2.10.0
 
@@ -38,7 +38,7 @@ https://tensorflownet.readthedocs.io</Description>
 		tf.net 0.7x.x aligns with TensorFlow v2.7.x native library.
 		tf.net 0.10x.x aligns with TensorFlow v2.10.x native library.
 	</PackageReleaseNotes>
-    <FileVersion>0.100.0.0</FileVersion>
+    <FileVersion>0.100.1.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>
@@ -108,7 +108,7 @@ https://tensorflownet.readthedocs.io</Description>
 
   <ItemGroup>
     <PackageReference Include="MethodBoundaryAspect.Fody" Version="2.0.148" />
-    <PackageReference Include="Protobuf.Text" Version="0.5.0" />
+    <PackageReference Include="Protobuf.Text" Version="0.6.0" />
     <PackageReference Include="Serilog.Sinks.Console" Version="4.1.0" />
   </ItemGroup>
 </Project>
diff --git a/src/TensorFlowNET.Keras/Engine/Functional.cs b/src/TensorFlowNET.Keras/Engine/Functional.cs
index d10ed214..09a31b94 100644
--- a/src/TensorFlowNET.Keras/Engine/Functional.cs
+++ b/src/TensorFlowNET.Keras/Engine/Functional.cs
@@ -65,12 +65,7 @@ namespace Tensorflow.Keras.Engine
             }
 
             // Keep track of the network's nodes and layers.
-            (NetworkNodes, NodesByDepth, var layers, _) = MapGraphNetwork(inputs, outputs);
-
-            if (!_self_tracked_trackables.Any())
-            {
-                _self_tracked_trackables = layers;
-            }
+            (NetworkNodes, NodesByDepth, _self_tracked_trackables, _) = MapGraphNetwork(inputs, outputs);
 
             // Build self.input_names and self.output_names.
             _set_output_names();
diff --git a/src/TensorFlowNET.Keras/Engine/Sequential.cs b/src/TensorFlowNET.Keras/Engine/Sequential.cs
index b4d1ecfe..4d87659b 100644
--- a/src/TensorFlowNET.Keras/Engine/Sequential.cs
+++ b/src/TensorFlowNET.Keras/Engine/Sequential.cs
@@ -110,6 +110,8 @@ namespace Tensorflow.Keras.Engine
             }
             else if (outputs != null)
             {
+                // If the model is being built continuously on top of an input layer:
+                // refresh its output.
                 outputs = layer.Apply(outputs);
                 built = true;
             }
@@ -155,7 +157,7 @@ namespace Tensorflow.Keras.Engine
             Tensors layer_output = null;
             Tensors outputs = null;
             List<INode> created_nodes = new List<INode>();
-            foreach (var layer in _self_tracked_trackables)
+            foreach (var layer in args.Layers)
             {
                 clear_previously_created_nodes(layer, _created_nodes);
                 layer_output = layer.Apply(layer_input);
diff --git a/src/TensorFlowNET.Keras/InitializersApi.cs b/src/TensorFlowNET.Keras/InitializersApi.cs
index d37ccd99..6bade172 100644
--- a/src/TensorFlowNET.Keras/InitializersApi.cs
+++ b/src/TensorFlowNET.Keras/InitializersApi.cs
@@ -25,7 +25,7 @@ public partial class InitializersApi : IInitializersApi
     /// </summary>
     /// <param name="seed"></param>
     /// <returns></returns>
-    public IInitializer he_normal(int? seed = null)
+    public IInitializer HeNormal(int? seed = null)
     {
         return new VarianceScaling(factor: 2.0f, mode: "fan_in", seed: seed);
     }
diff --git a/src/TensorFlowNET.Keras/Layers/Rnn/RNN.cs b/src/TensorFlowNET.Keras/Layers/Rnn/RNN.cs
index f894f41f..877c3599 100644
--- a/src/TensorFlowNET.Keras/Layers/Rnn/RNN.cs
+++ b/src/TensorFlowNET.Keras/Layers/Rnn/RNN.cs
@@ -45,6 +45,11 @@ namespace Tensorflow.Keras.Layers.Rnn
             }
         }
 
+        protected override Tensors Call(Tensors inputs, Tensor state = null, bool? training = null)
+        {
+            return base.Call(inputs, state, training);
+        }
+
         private static RNNArgs PreConstruct(RNNArgs args)
         {
             if (args.Kwargs == null)
diff --git a/src/TensorFlowNET.Keras/Layers/Rnn/SimpleRNNCell.cs b/src/TensorFlowNET.Keras/Layers/Rnn/SimpleRNNCell.cs
index 8d696d16..9e5af450 100644
--- a/src/TensorFlowNET.Keras/Layers/Rnn/SimpleRNNCell.cs
+++ b/src/TensorFlowNET.Keras/Layers/Rnn/SimpleRNNCell.cs
@@ -33,11 +33,16 @@ namespace Tensorflow.Keras.Layers.Rnn
             if (args.UseBias)
             {
                 bias = add_weight("bias", (args.Units),
-                    initializer: args.RecurrentInitializer
+                    initializer: args.BiasInitializer
                 );
             }
 
             built = true;
         }
+
+        protected override Tensors Call(Tensors inputs, Tensor state = null, bool? training = null)
+        {
+            return base.Call(inputs, state, training);
+        }
     }
 }
diff --git a/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj b/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
index 647601a7..d45c7de2 100644
--- a/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
+++ b/src/TensorFlowNET.Keras/Tensorflow.Keras.csproj
@@ -1,13 +1,13 @@
 <Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
-    <TargetFramework>netstandard2.0</TargetFramework>
+    <TargetFrameworks>netstandard2.0;net6.0</TargetFrameworks>
     <AssemblyName>Tensorflow.Keras</AssemblyName>
     <LangVersion>10.0</LangVersion>
     <Nullable>enable</Nullable>
     <RootNamespace>Tensorflow.Keras</RootNamespace>
     <Platforms>AnyCPU;x64</Platforms>
-    <Version>0.10.0</Version>
+    <Version>0.10.1</Version>
     <Authors>Haiping Chen</Authors>
     <Product>Keras for .NET</Product>
     <Copyright>Apache 2.0, Haiping Chen 2021</Copyright>
@@ -37,8 +37,8 @@ Keras is an API designed for human beings, not machines. Keras follows best prac
     <RepositoryType>Git</RepositoryType>
     <SignAssembly>true</SignAssembly>
     <AssemblyOriginatorKeyFile>Open.snk</AssemblyOriginatorKeyFile>
-    <AssemblyVersion>0.10.0.0</AssemblyVersion>
-    <FileVersion>0.10.0.0</FileVersion>
+    <AssemblyVersion>0.10.1.0</AssemblyVersion>
+    <FileVersion>0.10.1.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <Configurations>Debug;Release;GPU</Configurations>
   </PropertyGroup>