MyCaffe 0.10.0.140-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There is a newer version of this package available.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 0.10.0.140-beta1
                    


                    

                
NuGet\Install-Package MyCaffe -Version 0.10.0.140-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="0.10.0.140-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="MyCaffe" Version="0.10.0.140-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 0.10.0.140-beta1
                    


                    

                
#r "nuget: MyCaffe, 0.10.0.140-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. 
#:package MyCaffe@0.10.0.140-beta1
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=MyCaffe&version=0.10.0.140-beta1&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=MyCaffe&version=0.10.0.140-beta1&prerelease
                    


                            Install as a Cake Tool

CUDA 10.0.130, cuDNN 7.4.1, nvapi 410, Native Caffe up to 10/24/2018, Windows 10-1803, Driver 417.01

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 Recurrent Learning using the CUDA 10/cuDNN 7.4.1 LSTM implementation (which is 5x times faster than the CAFFE [2] version!) to implement the Char-RNN described by A. Karpathy [1] and originally implemented in CAFFE by adepierre [3].

This release of the MyCaffe AI Platform and Test Applications has the following new additions: • CUDA 10.0.130/cuDNN 7.4.1 supported (with driver 417.01). • Added cuDNN LSTM engine to LSTM Layer. • Added new Parameter Layer. • Added new GramLayer. • Added new TVLossLayer. • Added new LBFGSSolver.

The following bug fixes are in this release: • Fixed lock-up bug in Automated Testing Application.

To read more about cuDNN LSTM in MyCaffe, see the SignalPop Blog.

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 Recurrent Learning, 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), but allows you to easily mine 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] A. Karpathy, The Unreasonable Effectiveness of Recurrent Neural Networks, Andrej Karpathy blog, May 21, 2015.

[2] Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama and T. Darrell, Caffe: Convolutional Architecture for Fast Feature Embedding, June 20, 2014.

[3] adepierre, adepierre/caffe-char-rnn Github, Github.com, January 25, 2017.

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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Repository Stars
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
1.12.2.41 799 9/18/2023
1.12.1.82 545 6/8/2023
1.12.0.60 743 2/21/2023
1.11.8.27 905 11/23/2022
1.11.7.7 1,247 8/8/2022
1.11.6.38 996 6/10/2022
0.11.6.86-beta1 487 2/11/2022
0.11.4.60-beta1 446 9/11/2021
0.11.3.25-beta1 571 5/19/2021
0.11.2.9-beta1 416 2/3/2021
0.11.1.132-beta1 450 11/21/2020
0.11.1.56-beta1 450 10/17/2020
0.11.0.188-beta1 495 9/24/2020
0.11.0.65-beta1 516 8/6/2020
0.10.2.309-beta1 654 5/31/2020
0.10.2.124-beta1 559 1/21/2020
0.10.2.38-beta1 554 11/29/2019
0.10.1.283-beta1 563 10/28/2019
0.10.1.221-beta1 567 9/17/2019
0.10.1.169-beta1 656 7/8/2019
0.10.1.145-beta1 651 5/31/2019
0.10.1.48-beta1 678 4/18/2019
0.10.1.21-beta1 656 3/5/2019
0.10.0.190-beta1 827 1/15/2019
0.10.0.140-beta1 781 11/29/2018
0.10.0.122-beta1 800 11/15/2018
0.10.0.75-beta1 832 10/7/2018

MyCaffe AI Platform