CNN - Convolutional neural network class

This project provides matlab class for implementation of convolutional neural networks.

Version (612 KB)
43K Downloads
(38)
24. Okt 2012
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more

Sie verfolgen jetzt diese Einreichung

Zitieren als

Mihail Sirotenko (2026). CNN - Convolutional neural network class (https://de.mathworks.com/matlabcentral/fileexchange/24291-cnn-convolutional-neural-network-class), MATLAB Central File Exchange. Abgerufen .

Quellenangaben

Inspiriert: Raman Finder, myCNN

Kategorien

Mehr zu Get Started with Deep Learning Toolbox finden Sie in Help Center und MATLAB Answers

Allgemeine Informationen

Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
In neuem Tab öffnen
Version Veröffentlicht Versionshinweise
1.29.0

readMNIST.m script improved to explicitly check if MNIST library is exist and located in MNIST folder.
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.26.0

Description changed: added the notice about future versions of library.
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.25.0

Matlab 2012a compatibility issues resolved. Dependency from NN toolbox removed.
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.8.0

Compatibility with Matlab 2010 issue fixed (Thanks to Silvio Filipe)
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.6.0

Fixed bug with extra output error in non-cuda training example
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.5.0

1. Support of CUDA-accelerated simulation and training of convolutional neural networks;
2. GUI added, providing RMSE, MCR plots;
3. Ability to choose from 3 training modes added.
See changelog.txt for more.
Herunterladen

  • Install in MATLAB

    Requires R2026b and later. Learn more