Accord.Neuro
2.8.0
See the version list below for details.
dotnet add package Accord.Neuro --version 2.8.0
NuGet\Install-Package Accord.Neuro -Version 2.8.0
<PackageReference Include="Accord.Neuro" Version="2.8.0" />
paket add Accord.Neuro --version 2.8.0
#r "nuget: Accord.Neuro, 2.8.0"
// Install Accord.Neuro as a Cake Addin
#addin nuget:?package=Accord.Neuro&version=2.8.0
// Install Accord.Neuro as a Cake Tool
#tool nuget:?package=Accord.Neuro&version=2.8.0
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 | net is compatible. |
-
- Accord (>= 2.8.0)
- Accord.Math (>= 2.8.0)
- AForge (>= 2.2.4)
- AForge.Math (>= 2.2.4)
- AForge.Neuro (>= 2.2.4)
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 (1)
Showing the top 1 popular GitHub repositories that depend on Accord.Neuro:
Repository | Stars |
---|---|
accord-net/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
|
Version | Downloads | Last updated |
---|---|---|
3.8.2-alpha | 13,799 | 11/7/2017 |
3.8.1-alpha | 825 | 10/26/2017 |
3.8.0 | 83,579 | 10/19/2017 |
3.7.3-alpha | 830 | 10/17/2017 |
3.7.2-alpha | 6,705 | 9/22/2017 |
3.7.1-alpha | 853 | 9/11/2017 |
3.7.0 | 2,962 | 8/20/2017 |
3.6.4-alpha | 856 | 8/12/2017 |
3.6.3-alpha | 867 | 7/16/2017 |
3.6.2-alpha | 883 | 7/14/2017 |
3.6.1-alpha | 849 | 7/9/2017 |
3.6.0 | 6,879 | 7/7/2017 |
3.5.4-alpha | 2,958 | 6/18/2017 |
3.5.3-alpha | 862 | 6/17/2017 |
3.5.2-alpha | 849 | 6/11/2017 |
3.5.1-alpha | 926 | 6/10/2017 |
3.5.0 | 2,551 | 5/21/2017 |
3.4.2-alpha | 2,343 | 2/21/2017 |
3.4.1-alpha | 1,306 | 1/16/2017 |
3.4.0 | 4,374 | 1/11/2017 |
3.3.2-alpha | 1,652 | 1/6/2017 |
3.3.1-alpha | 998 | 10/7/2016 |
3.3.0 | 3,886 | 9/16/2016 |
3.2.3-alpha | 3,372 | 9/10/2016 |
3.2.2-alpha | 968 | 9/4/2016 |
3.2.1-alpha | 930 | 9/3/2016 |
3.2.0 | 2,409 | 8/20/2016 |
3.1.0-alpha | 1,084 | 6/6/2016 |
3.0.2 | 9,890 | 8/16/2015 |
3.0.1-alpha | 1,365 | 5/25/2015 |
3.0.0-alpha | 1,008 | 5/24/2015 |
2.15.0 | 2,142 | 5/1/2015 |
2.14.6-alpha | 1,200 | 4/27/2015 |
2.14.5-alpha | 1,090 | 4/9/2015 |
2.14.4-alpha | 1,036 | 3/15/2015 |
2.14.3-alpha | 1,275 | 2/23/2015 |
2.14.2-alpha | 1,202 | 2/8/2015 |
2.14.1-alpha | 1,059 | 2/7/2015 |
2.14.0 | 3,762 | 12/8/2014 |
2.13.1 | 2,040 | 9/5/2014 |
2.12.0 | 3,485 | 1/5/2014 |
2.11.0 | 1,896 | 11/5/2013 |
2.10.0 | 1,581 | 9/7/2013 |
2.8.1 | 1,764 | 12/20/2012 |
2.8.0 | 1,875 | 11/6/2012 |
2.7.0 | 1,810 | 7/14/2012 |
2.6.1 | 1,770 | 5/5/2012 |
2.6.0.1 | 1,673 | 4/3/2012 |