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Set SGD default value. · feelsyt/TensorFlow.NET@ba1ddb4 · GitHub

/ TensorFlow.NET Public
forked from SciSharp/TensorFlow.NET

Commit ba1ddb4

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Oceania2018
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Set SGD default value.
1 parent b18343c commit ba1ddb4

4 files changed

Lines changed: 28 additions & 25 deletions

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‎src/TensorFlowNET.Core/Keras/IOptimizerApi.cs‎

Lines changed: 1 addition & 1 deletion
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@@ -63,6 +63,6 @@ IOptimizer RMSprop(float learning_rate = 0.001f,
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bool centered = false,
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string name = "RMSprop");
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IOptimizer SGD(float learning_rate, float momentum);
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IOptimizer SGD(float learning_rate = 0.01f, float momentum = 0f);
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}
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}

‎src/TensorFlowNET.Core/Tensorflow.Binding.csproj‎

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@@ -5,13 +5,13 @@
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<AssemblyName>Tensorflow.Binding</AssemblyName>
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<RootNamespace>Tensorflow</RootNamespace>
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<TargetTensorFlow>2.11.0</TargetTensorFlow>
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<Version>0.110.2</Version>
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<Version>0.110.3</Version>
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<LangVersion>10.0</LangVersion>
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<Nullable>enable</Nullable>
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<Authors>Haiping Chen, Eli Belash, Yaohui Liu, Meinrad Recheis</Authors>
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<Company>SciSharp STACK</Company>
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<GeneratePackageOnBuild>False</GeneratePackageOnBuild>
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<Copyright>Apache 2.0, Haiping Chen $([System.DateTime]::UtcNow.ToString(yyyy))</Copyright>
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<Copyright>Apache 2.0, Haiping Chen since 2018</Copyright>
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<RepositoryUrl>https://github.com/SciSharp/TensorFlow.NET</RepositoryUrl>
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<RepositoryType>git</RepositoryType>
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<PackageProjectUrl>http://scisharpstack.org</PackageProjectUrl>
@@ -20,7 +20,7 @@
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<Description>Google's TensorFlow full binding in .NET Standard.
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Building, training and infering deep learning models.
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https://tensorflownet.readthedocs.io</Description>
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<AssemblyVersion>0.110.1.0</AssemblyVersion>
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<AssemblyVersion>0.110.3.0</AssemblyVersion>
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<PackageReleaseNotes>
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tf.net 0.110.x and above are based on tensorflow native 2.11.0
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* Support RNN, LSTM model.
@@ -43,7 +43,7 @@ https://tensorflownet.readthedocs.io</Description>
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tf.net 0.10x.x aligns with TensorFlow v2.10.x native library.
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tf.net 0.11x.x aligns with TensorFlow v2.11.x native library.
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</PackageReleaseNotes>
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<FileVersion>0.110.2.0</FileVersion>
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<FileVersion>0.110.3.0</FileVersion>
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<PackageLicenseFile>LICENSE</PackageLicenseFile>
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<PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
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<PackageOutputPath>packages</PackageOutputPath>
@@ -172,7 +172,7 @@ https://tensorflownet.readthedocs.io</Description>
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="MethodBoundaryAspect.Fody" Version="2.0.148" />
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<PackageReference Include="MethodBoundaryAspect.Fody" Version="2.0.149" />
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<PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
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<PackageReference Include="OneOf" Version="3.0.255" />
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<PackageReference Include="Protobuf.Text" Version="0.7.1" />

‎src/TensorFlowNET.Keras/Optimizers/OptimizerApi.cs‎

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Original file line numberDiff line numberDiff line change
@@ -71,7 +71,7 @@ public IOptimizer RMSprop(float learning_rate = 0.001f,
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Name = name
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});
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public IOptimizer SGD(float learning_rate, float momentum)
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public IOptimizer SGD(float learning_rate = 0.01f, float momentum = 0f)
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=> new SGD(learning_rate, momentum);
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}
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}

‎src/TensorFlowNET.Keras/Tensorflow.Keras.csproj‎

Lines changed: 21 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -7,27 +7,30 @@
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<Nullable>enable</Nullable>
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<RootNamespace>Tensorflow.Keras</RootNamespace>
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<Platforms>AnyCPU;x64</Platforms>
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<Version>0.11.2</Version>
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<Version>0.11.3</Version>
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<Authors>Haiping Chen</Authors>
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<Product>Keras for .NET</Product>
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<Copyright>Apache 2.0, Haiping Chen 2023</Copyright>
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<Copyright>Apache 2.0, Haiping Chen since 2018</Copyright>
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<PackageId>TensorFlow.Keras</PackageId>
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<PackageProjectUrl>https://github.com/SciSharp/TensorFlow.NET</PackageProjectUrl>
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<PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
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<RepositoryUrl>https://github.com/SciSharp/TensorFlow.NET</RepositoryUrl>
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<PackageReleaseNotes>Keras for .NET is a C# version of Keras ported from the python version.
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* Support CIFAR-10 dataset in keras.datasets.
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* Support Conv2D functional API.
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* Support BatchNormalization layer.
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* Building keras model in subclass, functional and sequential api
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* Implemented backward_function.
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* Support model.load_weights.
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* Add Subtract layer
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* Text preprocessing
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* Preprocessing.timeseries_dataset_from_array
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* Fixed memory leak for YOLOv3 model.
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* Support RNN and LSTM models</PackageReleaseNotes>
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<PackageReleaseNotes>
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Keras for .NET is a C# version of Keras ported from the python version.
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* Support CIFAR-10 dataset in keras.datasets.
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* Support Conv2D functional API.
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* Support BatchNormalization layer.
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* Building keras model in subclass, functional and sequential api
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* Implemented backward_function.
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* Support model.load_weights.
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* Add Subtract layer
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* Text preprocessing
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* Preprocessing.timeseries_dataset_from_array
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* Fixed memory leak for YOLOv3 model.
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* Support RNN and LSTM models
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* Support Transformer model
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</PackageReleaseNotes>
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<Description>Keras for .NET
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Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent &amp; simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear &amp; actionable error messages.</Description>
@@ -39,8 +42,8 @@ Keras is an API designed for human beings, not machines. Keras follows best prac
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<RepositoryType>Git</RepositoryType>
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<SignAssembly>False</SignAssembly>
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<AssemblyOriginatorKeyFile>Open.snk</AssemblyOriginatorKeyFile>
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<AssemblyVersion>0.11.2.0</AssemblyVersion>
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<FileVersion>0.11.2.0</FileVersion>
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<AssemblyVersion>0.11.3.0</AssemblyVersion>
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<FileVersion>0.11.3.0</FileVersion>
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<PackageLicenseFile>LICENSE</PackageLicenseFile>
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<Configurations>Debug;Release;GPU</Configurations>
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</PropertyGroup>
@@ -140,7 +143,7 @@ Keras is an API designed for human beings, not machines. Keras follows best prac
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="HDF5-CSharp" Version="1.17.0" />
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<PackageReference Include="HDF5-CSharp" Version="1.18.0" />
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<PackageReference Include="MethodBoundaryAspect.Fody" Version="2.0.149" />
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<PackageReference Include="SharpZipLib" Version="1.4.2" />
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</ItemGroup>

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