TensorFlow.NET 0.10.10

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package TensorFlow.NET --version 0.10.10                

                    
                

            
NuGet\Install-Package TensorFlow.NET -Version 0.10.10
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="TensorFlow.NET" Version="0.10.10" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TensorFlow.NET --version 0.10.10                

                    
                

            
#r "nuget: TensorFlow.NET, 0.10.10"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install TensorFlow.NET as a Cake Addin
#addin nuget:?package=TensorFlow.NET&version=0.10.10

// Install TensorFlow.NET as a Cake Tool
#tool nuget:?package=TensorFlow.NET&version=0.10.10

Google's TensorFlow full binding in .NET Standard.
Docs: https://tensorflownet.readthedocs.io/

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (8)

Showing the top 5 NuGet packages that depend on TensorFlow.NET:

Package Downloads
Microsoft.ML.TensorFlow

Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
TensorFlow.Keras

Keras for .NET Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
SharpCV

A image library combines OpenCV and NumSharp together.
Pandas.NET

Package Description
Carbon.Feature.Learning

Feature to provide integration with various Machine Learning frameworks.

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on TensorFlow.NET:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
SciSharp/SharpCV
A Computer Vision library for C# and F# that combines OpenCV and NDArray together in .NET Standard.
Version Downloads Last updated
0.150.0 52,767 11/5/2023
0.110.4 18,203 9/24/2023
0.110.3 4,259 9/9/2023
0.110.2 40,357 7/9/2023
0.110.1 1,181 7/8/2023
0.110.0 3,364 6/26/2023
0.100.5 15,728 5/5/2023
0.100.4 6,914 3/3/2023
0.100.2 9,960 2/6/2023
0.70.2 6,024 11/10/2022
0.70.1 16,220 1/16/2022
0.70.0 13,116 1/8/2022
0.60.5 11,643 11/27/2021
0.60.4 14,717 10/9/2021
0.40.1 67,525 5/1/2021
0.40.0 10,054 3/14/2021
0.33.0 5,112 2/6/2021
0.20.1 1,099,002 9/29/2020
0.15.1 24,397 3/9/2020
0.14.0 10,537 1/1/2020
0.11.8.1 302,732 10/21/2019
0.11.3 12,458 9/10/2019
0.10.10 20,062 8/3/2019
0.4.0 529,984 2/22/2019
0.0.1 1,949 12/27/2018

Changes since v0.9.0:

1. Added full connected Convolution Neural Network example.
2. Take dependency on SciSharp.TensorFlow.Redist.
3. Create Tensor from array without copying.
4. Fix path issue of Transfer Learning example on Linux.
5. Add back gen_ops.cs.
6. Add StridedSliceGrad.
7. Add BatchMatMulGrad.
8. Upgrade NumSharp.
9. Fix strided_slice_grad type convention error.
10. Add AbsGrad.
11. Fix Session.LoadFromSavedModel(string).
12. Add Tensor operator overloads.
13. Fix default graph and operation issue when import model.
14. Fix TF_String endcode and decode.
15. Fix Tensor memory leak.
16. Rename with to tf_with that is only used to build graph purpose.