Microsoft.ML.DnnImageFeaturizer.AlexNet
0.22.0
Prefix Reserved
dotnet add package Microsoft.ML.DnnImageFeaturizer.AlexNet --version 0.22.0
NuGet\Install-Package Microsoft.ML.DnnImageFeaturizer.AlexNet -Version 0.22.0
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="Microsoft.ML.DnnImageFeaturizer.AlexNet" Version="0.22.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.DnnImageFeaturizer.AlexNet --version 0.22.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.DnnImageFeaturizer.AlexNet, 0.22.0"
#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 Microsoft.ML.DnnImageFeaturizer.AlexNet as a Cake Addin #addin nuget:?package=Microsoft.ML.DnnImageFeaturizer.AlexNet&version=0.22.0 // Install Microsoft.ML.DnnImageFeaturizer.AlexNet as a Cake Tool #tool nuget:?package=Microsoft.ML.DnnImageFeaturizer.AlexNet&version=0.22.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
ML.NET component for pretrained AlexNet image featurization
| 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-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.
-
.NETStandard 2.0
- Microsoft.ML.OnnxTransformer (>= 4.0.0)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on Microsoft.ML.DnnImageFeaturizer.AlexNet:
| Package | Downloads |
|---|---|
|
Microsoft.ML.AutoML
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.DnnImageFeaturizer.AlexNet:
| Repository | Stars |
|---|---|
|
microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
|
| Version | Downloads | Last updated |
|---|---|---|
| 0.22.0 | 4,664 | 11/13/2024 |
| 0.22.0-preview.24522.7 | 1,455 | 10/23/2024 |
| 0.22.0-preview.24378.1 | 5,053 | 7/29/2024 |
| 0.22.0-preview.24271.1 | 3,179 | 5/21/2024 |
| 0.22.0-preview.24162.2 | 4,409 | 3/13/2024 |
| 0.21.1 | 121,116 | 1/18/2024 |
| 0.21.0 | 43,675 | 11/27/2023 |
| 0.21.0-preview.23511.1 | 3,006 | 10/13/2023 |
| 0.21.0-preview.23266.6 | 16,742 | 5/17/2023 |
| 0.21.0-preview.22621.2 | 6,955 | 12/22/2022 |
| 0.20.1 | 145,257 | 2/1/2023 |
| 0.20.1-preview.22573.9 | 4,209 | 11/24/2022 |
| 0.20.0 | 79,029 | 11/8/2022 |
| 0.20.0-preview.22551.1 | 767 | 11/1/2022 |
| 0.20.0-preview.22313.1 | 1,997 | 6/14/2022 |
| 0.19.1 | 8,848 | 3/9/2022 |
| 0.19.0 | 4,427 | 11/9/2021 |
| 0.19.0-preview.final | 567 | 10/22/2021 |
| 0.18.0 | 4,526 | 7/15/2021 |
| 0.17.5 | 4,629 | 3/4/2021 |
| 0.17.4 | 4,670 | 12/17/2020 |
| 0.17.2 | 4,864 | 9/11/2020 |
| 0.17.1 | 4,884 | 7/11/2020 |
| 0.17.0 | 4,751 | 5/26/2020 |
| 0.17.0-preview2 | 4,266 | 3/12/2020 |
| 0.17.0-preview | 3,924 | 12/26/2019 |
| 0.16.0 | 5,310 | 11/5/2019 |
| 0.16.0-preview2 | 4,023 | 10/8/2019 |
| 0.16.0-preview | 4,323 | 8/30/2019 |
| 0.15.1 | 6,721 | 8/6/2019 |
| 0.14.0 | 4,883 | 7/3/2019 |
| 0.13.0 | 5,091 | 6/4/2019 |
| 0.12.0 | 4,811 | 5/2/2019 |
| 0.12.0-preview | 4,616 | 4/3/2019 |
| 0.11.0 | 5,617 | 3/5/2019 |
| 0.10.0 | 4,800 | 2/5/2019 |
| 0.9.0 | 5,513 | 1/8/2019 |
| 0.8.0 | 5,768 | 12/4/2018 |