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There is a newer version of this package available.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. 
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. 
// Install MyCaffe as a Cake Addin
#addin nuget:?package=MyCaffe&version=0.10.0.140-beta1&prerelease

// Install MyCaffe as a Cake Tool
#tool nuget:?package=MyCaffe&version=0.10.0.140-beta1&prerelease

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
1.12.2.41 675 9/18/2023
1.12.1.82 469 6/8/2023
1.12.0.60 687 2/21/2023
1.11.8.27 849 11/23/2022
1.11.7.7 1,182 8/8/2022
1.11.6.38 891 6/10/2022
0.11.6.86-beta1 405 2/11/2022
0.11.4.60-beta1 370 9/11/2021
0.11.3.25-beta1 494 5/19/2021
0.11.2.9-beta1 335 2/3/2021
0.11.1.132-beta1 371 11/21/2020
0.11.1.56-beta1 366 10/17/2020
0.11.0.188-beta1 409 9/24/2020
0.11.0.65-beta1 431 8/6/2020
0.10.2.309-beta1 555 5/31/2020
0.10.2.124-beta1 475 1/21/2020
0.10.2.38-beta1 464 11/29/2019
0.10.1.283-beta1 462 10/28/2019
0.10.1.221-beta1 470 9/17/2019
0.10.1.169-beta1 564 7/8/2019
0.10.1.145-beta1 557 5/31/2019
0.10.1.48-beta1 581 4/18/2019
0.10.1.21-beta1 561 3/5/2019
0.10.0.190-beta1 724 1/15/2019
0.10.0.140-beta1 677 11/29/2018
0.10.0.122-beta1 701 11/15/2018
0.10.0.75-beta1 716 10/7/2018

MyCaffe AI Platform