diff --git a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
index 65645111..0f82d550 100644
--- a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
+++ b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
@@ -5,7 +5,7 @@
     <AssemblyName>TensorFlow.NET</AssemblyName>
     <RootNamespace>Tensorflow</RootNamespace>
     <TargetTensorFlow>1.14.0</TargetTensorFlow>
-    <Version>0.11.6</Version>
+    <Version>0.11.7</Version>
     <Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
     <Company>SciSharp STACK</Company>
     <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
@@ -17,7 +17,7 @@
     <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>0.11.6.0</AssemblyVersion>
+    <AssemblyVersion>0.11.7.0</AssemblyVersion>
     <PackageReleaseNotes>Changes since v0.10.0:
 1. Upgrade NumSharp to v0.20.3.
 2. Add DisposableObject class to manage object lifetime.
@@ -31,9 +31,10 @@ Docs: https://tensorflownet.readthedocs.io</Description>
 10. Support n-dim indexing for tensor.
 11. Add RegisterNoGradients
 12. Add CumsumGrad, BroadcastToGrad.
-13. Return VariableV1 instead of RefVariable.</PackageReleaseNotes>
+13. Return VariableV1 instead of RefVariable.
+14.</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
-    <FileVersion>0.11.6.0</FileVersion>
+    <FileVersion>0.11.7.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
     <PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
     <SignAssembly>true</SignAssembly>
diff --git a/src/TensorFlowNET.Core/Train/GradientDescentOptimizer.cs b/src/TensorFlowNET.Core/Train/GradientDescentOptimizer.cs
index 2d472f5a..1a2821bb 100644
--- a/src/TensorFlowNET.Core/Train/GradientDescentOptimizer.cs
+++ b/src/TensorFlowNET.Core/Train/GradientDescentOptimizer.cs
@@ -39,6 +39,12 @@ namespace Tensorflow.Train
             : base(learning_rate, use_locking, name)
         {
             _lr = learning_rate;
+        }
+
+        public GradientDescentOptimizer(Tensor learning_rate, bool use_locking = false, string name = "GradientDescent")
+            : base(learning_rate, use_locking, name)
+        {
+            _lr_t = learning_rate;
         }
 
         public override void _prepare()