BrightWire.Net4
2.0.4
See the version list below for details.
dotnet add package BrightWire.Net4 --version 2.0.4
NuGet\Install-Package BrightWire.Net4 -Version 2.0.4
<PackageReference Include="BrightWire.Net4" Version="2.0.4" />
paket add BrightWire.Net4 --version 2.0.4
#r "nuget: BrightWire.Net4, 2.0.4"
// Install BrightWire.Net4 as a Cake Addin #addin nuget:?package=BrightWire.Net4&version=2.0.4 // Install BrightWire.Net4 as a Cake Tool #tool nuget:?package=BrightWire.Net4&version=2.0.4
Bright Wire is an open source machine learning library. Includes deep learning (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET Framework | net46 is compatible. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
-
- MathNet.Numerics (>= 3.20.0)
- protobuf-net (>= 2.3.2)
- System.ValueTuple (>= 4.4.0)
NuGet packages (1)
Showing the top 1 NuGet packages that depend on BrightWire.Net4:
Package | Downloads |
---|---|
BrightWire.CUDA.Net4.x64
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
2.1.1 | 1,334 | 2/23/2019 |
2.1.0 | 1,139 | 9/30/2018 |
2.0.6 | 1,159 | 7/27/2018 |
2.0.5 | 3,484 | 1/4/2018 |
2.0.4 | 1,714 | 9/23/2017 |
2.0.3 | 6,359 | 8/18/2017 |
2.0.2 | 1,605 | 6/21/2017 |
2.0.1 | 1,330 | 6/19/2017 |
2.0.0 | 1,241 | 6/7/2017 |
1.1.6 | 1,310 | 3/10/2017 |
1.1.5 | 1,191 | 3/3/2017 |
1.1.4 | 1,346 | 1/24/2017 |
1.1.3 | 1,195 | 1/19/2017 |
1.1.2 | 1,221 | 1/12/2017 |
1.1.1 | 1,042 | 12/8/2016 |
1.1.0 | 1,463 | 11/7/2016 |
1.0.8 | 1,137 | 10/31/2016 |
1.0.7 | 1,043 | 10/27/2016 |
1.0.5 | 1,003 | 10/25/2016 |
1.0.4 | 1,002 | 10/21/2016 |
1.0.3 | 977 | 10/18/2016 |
1.0.2 | 988 | 10/17/2016 |
1.0.1 | 985 | 10/14/2016 |
1.0.0 | 965 | 10/12/2016 |
refactored DataTableVectoriser to be able to save vectorisation model
neural network bias training correction
added helper methods to create to protobuf dtos
L2 regularisation fix
added tensor data source