Accord.Neuro
3.6.1-alpha
See the version list below for details.
dotnet add package Accord.Neuro --version 3.6.1-alpha
NuGet\Install-Package Accord.Neuro -Version 3.6.1-alpha
<PackageReference Include="Accord.Neuro" Version="3.6.1-alpha" />
paket add Accord.Neuro --version 3.6.1-alpha
#r "nuget: Accord.Neuro, 3.6.1-alpha"
// Install Accord.Neuro as a Cake Addin #addin nuget:?package=Accord.Neuro&version=3.6.1-alpha&prerelease // Install Accord.Neuro as a Cake Tool #tool nuget:?package=Accord.Neuro&version=3.6.1-alpha&prerelease
Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET Framework | net35 is compatible. net40 is compatible. net403 was computed. net45 is compatible. net451 was computed. net452 was computed. net46 is compatible. net461 was computed. net462 is compatible. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
-
- Accord (>= 3.6.1-alpha)
- Accord.Math (>= 3.6.1-alpha)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on Accord.Neuro:
Package | Downloads |
---|---|
FluffySpoon.Neuro.Evolution
Package Description |
|
imbWBI.Core
Web Business Intelligence library of imbVeles Framework. Currently supports Web Site Classification using different Semantic Similarity and TF-IDF computation, kNN, Neural Networks, mSVM and Naive Bayes |
|
imbNLP.Toolkit
Collection of low-level methods text classification, stemming, term weighting, word embedding and other usefull classes from other authors and open source projects. |
|
Engine.ML
基于Accord.Net, CNTK等实现的机器学习相关方法 |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last updated |
---|---|---|
3.8.2-alpha | 14,881 | 11/7/2017 |
3.8.1-alpha | 875 | 10/26/2017 |
3.8.0 | 99,602 | 10/19/2017 |
3.7.3-alpha | 863 | 10/17/2017 |
3.7.2-alpha | 6,829 | 9/22/2017 |
3.7.1-alpha | 899 | 9/11/2017 |
3.7.0 | 3,035 | 8/20/2017 |
3.6.4-alpha | 895 | 8/12/2017 |
3.6.3-alpha | 919 | 7/16/2017 |
3.6.2-alpha | 917 | 7/14/2017 |
3.6.1-alpha | 887 | 7/9/2017 |
3.6.0 | 6,950 | 7/7/2017 |
3.5.4-alpha | 2,995 | 6/18/2017 |
3.5.3-alpha | 904 | 6/17/2017 |
3.5.2-alpha | 887 | 6/11/2017 |
3.5.1-alpha | 959 | 6/10/2017 |
3.5.0 | 2,615 | 5/21/2017 |
3.4.2-alpha | 2,385 | 2/21/2017 |
3.4.1-alpha | 1,345 | 1/16/2017 |
3.4.0 | 4,423 | 1/11/2017 |
3.3.2-alpha | 1,686 | 1/6/2017 |
3.3.1-alpha | 1,040 | 10/7/2016 |
3.3.0 | 3,949 | 9/16/2016 |
3.2.3-alpha | 3,404 | 9/10/2016 |
3.2.2-alpha | 1,002 | 9/4/2016 |
3.2.1-alpha | 967 | 9/3/2016 |
3.2.0 | 2,455 | 8/20/2016 |
3.1.0-alpha | 1,118 | 6/6/2016 |
3.0.2 | 10,279 | 8/16/2015 |
3.0.1-alpha | 1,405 | 5/25/2015 |
3.0.0-alpha | 1,039 | 5/24/2015 |
2.15.0 | 2,180 | 5/1/2015 |
2.14.6-alpha | 1,235 | 4/27/2015 |
2.14.5-alpha | 1,130 | 4/9/2015 |
2.14.4-alpha | 1,054 | 3/15/2015 |
2.14.3-alpha | 1,308 | 2/23/2015 |
2.14.2-alpha | 1,219 | 2/8/2015 |
2.14.1-alpha | 1,092 | 2/7/2015 |
2.14.0 | 3,838 | 12/8/2014 |
2.13.1 | 2,091 | 9/5/2014 |
2.12.0 | 3,541 | 1/5/2014 |
2.11.0 | 1,941 | 11/5/2013 |
2.10.0 | 1,619 | 9/7/2013 |
2.8.1 | 1,802 | 12/20/2012 |
2.8.0 | 1,917 | 11/6/2012 |
2.7.0 | 1,852 | 7/14/2012 |
2.6.1 | 1,804 | 5/5/2012 |
2.6.0.1 | 1,708 | 4/3/2012 |