MyCaffe 0.10.0.75-beta1

.NET Framework 4.0 This package targets .NET Framework 4.0. The package is compatible with this framework or higher.
This is a prerelease version of MyCaffe.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package MyCaffe --version 0.10.0.75-beta1
                    


                    

                
NuGet\Install-Package MyCaffe -Version 0.10.0.75-beta1
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="MyCaffe" Version="0.10.0.75-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MyCaffe" Version="0.10.0.75-beta1" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="MyCaffe" />
                    


                            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 MyCaffe --version 0.10.0.75-beta1
                    


                    

                
#r "nuget: MyCaffe, 0.10.0.75-beta1"
#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=MyCaffe&version=0.10.0.75-beta1&prerelease
                    


                            Install MyCaffe as a Cake Addin
                        

                    

                
#tool nuget:?package=MyCaffe&version=0.10.0.75-beta1&prerelease
                    


                            Install MyCaffe as a Cake Tool

CUDA 10.0.130, cuDNN 7.3.1, Native Caffe up to 3/26/2018, Windows 10-1803, Driver 411.70 and 416.16 IMPORTANT NOTE: When using TCC mode, we recommend that ALL headless GPU’s are placed in TCC mode for we have experienced stability issues when using a mix of TCC and WDM modes with headless GPU’s.

MyCaffe now supports multi-threaded based Reinforcement Learning using CUDA 10 on the Arcade-Learning-Environment [1]!

This release of the MyCaffe AI Platform and Test Applications has the following new additions: • CUDA 10.0.130/cuDNN 7.31 now supported (with driver 411.70 and 416.16). • Added new AleControl for access to Arcade-Learning-Environment • Added new ATARI gym support via AleControl • Added ability to turn off policy gradient accelerated learning. • Added random exploration support.

The following bug fixes are in this release: • Fixed bugs in discounted return calculation • Fixed bugs in Blob.NormalizeData

Easily create the CIFAR-10 and MNIST datasets using the MyCaffe Test Application which you can download from the MyCaffe GitHub site.

Create and train the Policy Gradient Reinforcement Learning, Auto-Encoder, DANN and ResNet models by following step-by-step instructions in the SignalPop Tutorials. And, to see other cool examples that show what MyCaffe can do, see the SignalPop Examples.

If you would like to visually design, develop, test and debug your models, see the SignalPop AI Designer specifically designed to enhance your MyCaffe deep learning.

Also, check out the SignalPop Universal Miner that not only gives you detailed information on each of your GPU's (such as temperature, fan speed, overclock, and usage), it allows you to easily start mining Ethereum. When not training AI, put those GPU's to use making some Ether - never let a good GPU go to waste!

Happy ‘deep’ learning!

[1] The Arcade Learning Environment: An Evaluation Platform for General Agents by Marc G. Bellemare, Yavar Naddaf, Joel Veness and Michael Bowling, 2012-2013. Source code available on GitHub at https://github.com/mgbellemare/Arcade-Learning-Environment

Product Compatible and additional computed target framework versions.
.NET Framework net40 is compatible.  net403 was computed.  net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  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 (1)

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MyCaffe/MyCaffe
A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!
Version Downloads Last updated
1.12.2.41 744 9/18/2023
1.12.1.82 477 6/8/2023
1.12.0.60 696 2/21/2023
1.11.8.27 860 11/23/2022
1.11.7.7 1,193 8/8/2022
1.11.6.38 912 6/10/2022
0.11.6.86-beta1 428 2/11/2022
0.11.4.60-beta1 384 9/11/2021
0.11.3.25-beta1 506 5/19/2021
0.11.2.9-beta1 353 2/3/2021
0.11.1.132-beta1 389 11/21/2020
0.11.1.56-beta1 384 10/17/2020
0.11.0.188-beta1 426 9/24/2020
0.11.0.65-beta1 448 8/6/2020
0.10.2.309-beta1 573 5/31/2020
0.10.2.124-beta1 495 1/21/2020
0.10.2.38-beta1 484 11/29/2019
0.10.1.283-beta1 484 10/28/2019
0.10.1.221-beta1 492 9/17/2019
0.10.1.169-beta1 585 7/8/2019
0.10.1.145-beta1 579 5/31/2019
0.10.1.48-beta1 604 4/18/2019
0.10.1.21-beta1 584 3/5/2019
0.10.0.190-beta1 748 1/15/2019
0.10.0.140-beta1 703 11/29/2018
0.10.0.122-beta1 732 11/15/2018
0.10.0.75-beta1 750 10/7/2018

MyCaffe AI Platform