MatConvNet: Convolutional Neural Networks for …

MatConvNetConvolutional Neural Networks for MATLABA ndrea VedaldiKarel LencAnkush GuptaiiiAbstractMatConvNetis an implementation of Convolutional Neural Networks (CNNs)for matlab . The toolbox is designed with an emphasis on simplicity and exposes the building blocks of CNNs as easy-to-use matlab functions, providingroutines for computing linear convolutions with filter banks, feature pooling, and manymore. In this manner,MatConvNetallows fast prototyping of new CNN architec-tures; at the same time, it supports efficient computation on CPU and GPU allowingto train complex models on large datasets such as ImageNet ILSVRC. This documentprovides an overview of CNNs and how they are implemented inMatConvNetandgives the technical details of each computational block in the Introduction to Getting started.

ii Abstract MatConvNet is an implementation of Convolutional Neural Networks (CNNs) for MATLAB. The toolbox is designed with an emphasis on simplicity and

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