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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. This document
- provides an overview of CNNs and how they are implemented in MatConvNet and
- gives the technical details of each computational block in the toolbox
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