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CNN - Convolutional neural network class

version 1.29.0.0 (613 KB) by Mihail Sirotenko
This project provides matlab class for implementation of convolutional neural networks.

41.4K Downloads

Updated 24 Oct 2012

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NOTE: Next versions of this library is hosted at https://bitbucket.org/intelligenceagent/cudacnn-public/wiki/Home
The reason is that now it's rather C++/CUDA library with Matlab front-end than a Matlab library.

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it's source modifications. That's why this class works almost independently from NN toolbox (coming soon full independence).

This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You'll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognizes image of digit either painted in painting area or downloaded from MNIST database.

Further information about the library can be found here:
https://sites.google.com/site/mihailsirotenko/projects/convolutional-neural-network-class
and here:
https://sites.google.com/site/mihailsirotenko/projects/cuda-cnn

Cite As

Mihail Sirotenko (2021). CNN - Convolutional neural network class (https://www.mathworks.com/matlabcentral/fileexchange/24291-cnn-convolutional-neural-network-class), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: myCNN

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