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@@ -5,7 +5,7 @@ |
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<AssemblyName>TensorFlow.NET</AssemblyName> |
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<RootNamespace>Tensorflow</RootNamespace> |
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<TargetTensorFlow>1.14.0</TargetTensorFlow> |
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<Version>0.11.8.1</Version> |
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<Version>0.12.0</Version> |
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<Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors> |
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<Company>SciSharp STACK</Company> |
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild> |
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@@ -16,25 +16,13 @@ |
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<PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&v=4</PackageIconUrl> |
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<PackageTags>TensorFlow, NumSharp, SciSharp, MachineLearning, TensorFlow.NET, C#</PackageTags> |
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<Description>Google's TensorFlow full binding in .NET Standard. |
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Docs: https://tensorflownet.readthedocs.io</Description> |
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<AssemblyVersion>0.11.8.1</AssemblyVersion> |
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<PackageReleaseNotes>Changes since v0.10.0: |
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1. Upgrade NumSharp to v0.20.3. |
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2. Add DisposableObject class to manage object lifetime. |
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3. Add tf.no_op, tf.nn.in_top_k, tf.GraphKeys and tf.trainable_variables. |
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4. Change tensorflow to non-static class in order to execute some initialization process. |
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5. Overload session.run(), make syntax simpler. |
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6. Add Local Response Normalization. |
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7. Add tf.image related APIs. |
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8. Add tf.random_normal, tf.constant, tf.pad, tf.shape, tf.image.resize_nearest_neighbor. |
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9. MultiThread is safe. |
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10. Support n-dim indexing for tensor. |
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11. Add RegisterNoGradients |
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12. Add CumsumGrad, BroadcastToGrad. |
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13. Return VariableV1 instead of RefVariable. |
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14. Add Tensor overload to GradientDescentOptimizer.</PackageReleaseNotes> |
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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>0.12.0.0</AssemblyVersion> |
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<PackageReleaseNotes>Changes since v0.11.0: |
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</PackageReleaseNotes> |
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<LangVersion>7.3</LangVersion> |
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<FileVersion>0.11.8.1</FileVersion> |
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<FileVersion>0.12.0.0</FileVersion> |
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<PackageLicenseFile>LICENSE</PackageLicenseFile> |
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<PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance> |
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<SignAssembly>true</SignAssembly> |
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