Matconvnet: Convolutional neural networks for matlab
Proceedings of the 23rd ACM international conference on Multimedia, 2015•dl.acm.org
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs)
with a deep integration in the MATLAB environment. 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 convolutions with filter banks, feature
pooling, normalisation, and much more. MatConvNet can be easily extended, often using
only MATLAB code, allowing fast prototyping of new CNN architectures. At the same time, it …
with a deep integration in the MATLAB environment. 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 convolutions with filter banks, feature
pooling, normalisation, and much more. MatConvNet can be easily extended, often using
only MATLAB code, allowing fast prototyping of new CNN architectures. At the same time, it …
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB environment. 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 convolutions with filter banks, feature pooling, normalisation, and much more. MatConvNet can be easily extended, often using only MATLAB code, allowing 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 containing millions of training examples
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