dotnet add package Microsoft.ML.TensorFlow --version 3.0.0
NuGet\Install-Package Microsoft.ML.TensorFlow -Version 3.0.0
<PackageReference Include="Microsoft.ML.TensorFlow" Version="3.0.0" />
paket add Microsoft.ML.TensorFlow --version 3.0.0
#r "nuget: Microsoft.ML.TensorFlow, 3.0.0"
// Install Microsoft.ML.TensorFlow as a Cake Addin #addin nuget:?package=Microsoft.ML.TensorFlow&version=3.0.0 // Install Microsoft.ML.TensorFlow as a Cake Tool #tool nuget:?package=Microsoft.ML.TensorFlow&version=3.0.0
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
|Product||Versions 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-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.|
NuGet packages (5)
Showing the top 5 NuGet packages that depend on Microsoft.ML.TensorFlow:
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Application Component for the Alliance Business Suite.
Simple machine learning wrapper for Microsoft.ML
GitHub repositories (4)
Showing the top 4 popular GitHub repositories that depend on Microsoft.ML.TensorFlow:
Sample code referenced by the .NET documentation
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection, and face-recognition.
Tailwind Traders Backend Services
Code samples utilizing Microsoft's ML.NET machine-learning library