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2014

MatConvNet - Convolutional Neural Networks for MATLAB

Vedaldi, Andrea, Lenc, Karel

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MatConvNet is an implementation of Convolutional Neural Networks (CNNs) for MATLAB.

The toolbox is designed with an emphasis on simplicity and flexibility.
It exposes the building blocks of CNNs as easy-to-use MATLAB functions, providing routines for computing linear convolutions with filter banks, feature pooling, and many more.
In this manner, MatConvNet allows fast prototyping of new CNN architectures; at the same time, it supports efficient computation on CPU and GPU allowing to train complex models on large datasets such as ImageNet ILSVRC.

MatConvNet - Convolutional Neural Networks for MATLAB · Around

Built on

Integrals and derivatives for correlated gaussian fuctions using matrix differential calculus
D. B. Kinghorn · 1996
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
VLFeat – An open and portable library of computer vision algorithms
A. Vedaldi and B. Fulkerson · 2010
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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