LG.TensorFlow.Keras
0.6.3.1
dotnet add package LG.TensorFlow.Keras --version 0.6.3.1
NuGet\Install-Package LG.TensorFlow.Keras -Version 0.6.3.1
<PackageReference Include="LG.TensorFlow.Keras" Version="0.6.3.1" />
paket add LG.TensorFlow.Keras --version 0.6.3.1
#r "nuget: LG.TensorFlow.Keras, 0.6.3.1"
// Install LG.TensorFlow.Keras as a Cake Addin
#addin nuget:?package=LG.TensorFlow.Keras&version=0.6.3.1
// Install LG.TensorFlow.Keras as a Cake Tool
#tool nuget:?package=LG.TensorFlow.Keras&version=0.6.3.1
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.
Product | Versions |
---|---|
.NET | net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows |
.NET Core | netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1 |
.NET Standard | netstandard2.0 netstandard2.1 |
.NET Framework | net461 net462 net463 net47 net471 net472 net48 net481 |
MonoAndroid | monoandroid |
MonoMac | monomac |
MonoTouch | monotouch |
Tizen | tizen40 tizen60 |
Xamarin.iOS | xamarinios |
Xamarin.Mac | xamarinmac |
Xamarin.TVOS | xamarintvos |
Xamarin.WatchOS | xamarinwatchos |
-
.NETStandard 2.0
- LG.TensorFlow.NET (>= 0.60.3.1)
- MethodBoundaryAspect.Fody (>= 2.0.139)
- Newtonsoft.Json (>= 13.0.1)
- SciSharp.Keras.HDF5 (>= 1.1.10.500)
- SharpZipLib (>= 1.3.2)
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories
This package is not used by any popular GitHub repositories.
Keras for .NET is a C# version of Keras ported from the python version.
* Support CIFAR-10 dataset in keras.datasets.
* Support Conv2D functional API.
* Support BatchNormalization layer.
* Building keras model in subclass, functional and sequential api
* Implemented backward_function.
* Support model.load_weights.
* Add Subtract layer
* Support YOLOv3 model.
* Text preprocessing
* Preprocessing.timeseries_dataset_from_array