DeepNet 0.2.0.551-master

.NET Framework 4.6.1 This package targets .NET Framework 4.6.1. The package is compatible with this framework or higher.
This is a prerelease version of DeepNet.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package DeepNet --version 0.2.0.551-master
                    


                    

                
NuGet\Install-Package DeepNet -Version 0.2.0.551-master
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="DeepNet" Version="0.2.0.551-master" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="DeepNet" Version="0.2.0.551-master" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="DeepNet" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add DeepNet --version 0.2.0.551-master
                    


                    

                
#r "nuget: DeepNet, 0.2.0.551-master"
#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. 
#addin nuget:?package=DeepNet&version=0.2.0.551-master&prerelease
                    


                            Install DeepNet as a Cake Addin
                        

                    

                
#tool nuget:?package=DeepNet&version=0.2.0.551-master&prerelease
                    


                            Install DeepNet as a Cake Tool

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning.

Make sure to set the platform of your project to x64.

Product Compatible and additional computed target framework versions.
.NET Framework net461 is compatible.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.3.0.712-master 1,171 9/1/2017
0.3.0.711-master 935 9/1/2017
0.3.0.710-master 931 9/1/2017
0.3.0.709-master 952 8/31/2017
0.3.0.708-master 942 8/30/2017
0.3.0.707-master 907 8/30/2017
0.3.0.706-master 959 8/30/2017
0.3.0.701-master 1,003 6/26/2017
0.3.0.700-master 963 6/22/2017
0.3.0.699-master 975 6/22/2017
0.3.0.698-master 975 6/21/2017
0.3.0.697-master 974 6/21/2017
0.3.0.696-master 1,012 6/21/2017
0.3.0.695-master 950 6/21/2017
0.3.0.694-master 956 6/21/2017
0.3.0.693-master 979 6/20/2017
0.3.0.692-master 933 6/19/2017
0.3.0.691-master 1,019 6/19/2017
0.3.0.690-master 908 6/19/2017
0.3.0.689-master 962 5/14/2017
0.3.0.688 1,629 5/14/2017
0.3.0.686-master 940 5/14/2017
0.2.0.591-master 968 4/19/2017
0.2.0.565-master 966 4/11/2017
0.2.0.556-master 962 3/21/2017
0.2.0.551-master 1,010 3/17/2017
0.2.0.540-master 968 3/15/2017
0.2.0.536-master 943 3/14/2017
0.2.0.519-master 944 3/2/2017
0.2.0.516-master 937 3/2/2017
0.2.0.499-master 977 2/13/2017
0.2.0.494-master 952 2/7/2017
0.2.0.479-master 997 2/1/2017
0.2.0.463-master 1,033 1/17/2017
0.2.0.431-master 1,007 12/2/2016
0.2.0.422-master 1,361 11/9/2016
0.2.0.421-master 1,301 11/9/2016
0.2.0.411-master 1,045 10/26/2016
0.2.0.400-master 943 10/26/2016
0.2.0.394-master 975 10/25/2016
0.2.0.382-master 1,049 10/21/2016
0.2.0.377-master 1,064 10/20/2016
0.2.0.323-master 981 10/11/2016
0.2.0.262-master 989 9/29/2016
0.2.0.248-master 984 9/27/2016
0.2.0.174-master 1,023 9/16/2016
0.2.0.128-master 1,021 9/8/2016
0.2.0.122-master 998 9/8/2016
0.2.0.121-master 995 9/7/2016
0.2.0.111-master 1,005 9/7/2016
0.2.0.105-ci 959 9/5/2016
0.2.0.97-ci 1,018 8/30/2016
0.2.0.96-ci 1,002 8/29/2016
0.2.0.90-ci 1,014 8/25/2016
0.2.0.89-ci 1,005 8/24/2016
0.2.0.88-ci 991 8/24/2016
0.2.0.87-ci 1,027 8/24/2016
0.2.0.86-ci 995 8/23/2016
0.2.0.85-ci 1,002 8/22/2016
0.2.0.84-ci 975 8/22/2016
0.2.0.83-ci 997 8/22/2016
0.2.0.82 1,204 8/22/2016
0.2.0.81-ci 995 8/19/2016
0.2.0.80-ci 996 6/27/2016
0.2.0.79-ci 1,024 6/27/2016
0.2.0.77-ci 1,027 6/22/2016
0.2.0.76-ci 1,015 6/22/2016
0.2.0.75 1,233 6/15/2016
0.2.0.74-ci 1,350 6/15/2016
0.2.0.73 1,524 6/15/2016
0.2.0.72 1,503 6/15/2016
0.2.0.71 1,500 6/14/2016
0.2.0.70 1,394 6/9/2016
0.2.0.69 1,391 6/9/2016
0.2.0.68 1,152 6/9/2016
0.2.0.67 1,160 6/8/2016
0.2.0.66-ci 1,001 6/8/2016
0.2.0.65-ci 1,002 6/8/2016
0.2.0.64-ci 1,038 6/8/2016
0.2.0.63-ci 1,040 6/7/2016
0.2.0.62 1,142 6/7/2016
0.2.0.61 1,158 6/6/2016
0.2.0.60 1,155 6/6/2016
0.2.0.59 1,135 6/6/2016
0.2.0.57 1,202 6/3/2016
0.2.0.56 1,199 6/3/2016
0.2.0.55 1,190 6/3/2016
0.2.0.54 1,154 6/3/2016
0.2.0.53 1,187 6/3/2016
0.2.0.52-ci 986 6/2/2016
0.2.0.51-ci 1,031 6/2/2016
0.2.0.50-ci 1,020 6/2/2016
0.2.0.49 1,255 5/31/2016
0.2.0.48-ci 1,047 5/31/2016
0.2.0.46-ci 1,020 5/31/2016
0.2.0.45 1,396 5/31/2016
0.2.0.44 1,378 5/31/2016
0.2.0.43 1,370 5/31/2016
0.2.0.42 1,438 5/30/2016
0.2.0.41 1,433 5/30/2016
0.2.0.40 1,447 5/30/2016
0.2.0.39 1,414 5/30/2016
0.2.0.38 1,398 5/30/2016
0.2.0.37 1,380 5/30/2016
0.2.0.36 1,425 5/25/2016
0.2.0.35 1,350 5/24/2016
0.2.0.34 1,480 5/24/2016
0.2.0.33 1,680 5/24/2016
0.2.0.32-ci 1,053 5/24/2016
0.1.26-ci 997 5/24/2016
0.1.24-ci 987 5/24/2016
0.1.19-ci 1,037 5/24/2016

Initial release.