TensorFlow.Keras 0.15.0

dotnet add package TensorFlow.Keras --version 0.15.0
NuGet\Install-Package TensorFlow.Keras -Version 0.15.0
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="TensorFlow.Keras" Version="0.15.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add TensorFlow.Keras --version 0.15.0
#r "nuget: TensorFlow.Keras, 0.15.0"
#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 TensorFlow.Keras as a Cake Addin
#addin nuget:?package=TensorFlow.Keras&version=0.15.0

// Install TensorFlow.Keras as a Cake Tool
#tool nuget:?package=TensorFlow.Keras&version=0.15.0

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 Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  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 (4)

Showing the top 4 NuGet packages that depend on TensorFlow.Keras:

Package Downloads

.NET text analysis tool. Tokenize, Stemming and Lemmatization.


Package Description


Package Description


Package Description

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on TensorFlow.Keras:

Repository Stars
The AI Agent Framework in .NET
Practical examples written in SciSharp's machine learning libraries
Open Source framework for writing data-centric applications using the latest versions of .Net Core, C# (not-nullable), ASP.NET Web API, Typescript (strict), React, D3 and Sql Server or PostgreeSQL
Natural Language Processing in .NET Core
Version Downloads Last updated
0.15.0 9,380 11/5/2023
0.11.4 11,716 9/24/2023
0.11.3 2,550 9/9/2023
0.11.2 29,665 7/9/2023
0.11.1 259 7/8/2023
0.11.0 2,053 6/26/2023
0.10.5 10,040 5/5/2023
0.10.4 2,677 3/3/2023
0.10.3 617 2/22/2023
0.10.2 4,466 2/6/2023
0.7.2 1,689 11/10/2022
0.7.0 10,289 1/8/2022
0.6.5 2,579 11/27/2021
0.6.4 2,381 10/9/2021
0.6.3 1,041 9/4/2021
0.6.2 1,348 8/21/2021
0.6.1 771 8/10/2021
0.5.1 49,179 5/1/2021
0.5.0 2,807 3/14/2021
0.4.0 1,692 2/6/2021
0.3.0 5,432 1/9/2021
0.2.1 1,261 12/12/2020
0.1.0 912 11/14/2020

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
* Text preprocessing
* Preprocessing.timeseries_dataset_from_array
* Fixed memory leak for YOLOv3 model.
* Support RNN and LSTM models
* Support Transformer model
* Support BERT model