MatConvNet – convolutional neural networks for MATLAB. 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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References in zbMATH (referenced in 2 articles )
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- Li, Hanhui; Wu, Hefeng; Lin, Shujin; Luo, Xiaonan: Coupling deep correlation filter and online discriminative learning for visual object tracking (2018)
- Ochs, Peter; Ranftl, René; Brox, Thomas; Pock, Thomas: Techniques for gradient-based bilevel optimization with non-smooth lower level problems (2016)