research data . Dataset . 2016

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

Ioannou, Yani;
Open Access
  • Published: 27 May 2016
  • Publisher: Zenodo
Abstract
<p>Models from experiments referenced in the paper &quot;Training CNNs with Low-Rank Filters for Efficient Image Classification&quot;,&nbsp;https://arxiv.org/abs/1511.06744</p> <p>Model names differ from those in the paper, but the csv files for each set of experiments relates the paper&#39;s name for the model and the real name of the model here:</p> <ul> <li>cifarma.csv: Network-in-Network CIFAR10 Models</li> <li>mitma.csv: MIT Places Models</li> <li>googlenetma.csv: GoogLeNet ILSVRC2012 Models</li> <li>vggma.csv: VGG-11 ILSVRC2012 Models</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>
Subjects
free text keywords: Deep Learning, Machine Learning, Computer Vision, ILSVRC, Low-Rank, Neural Networks, Convolutional Neural Networks
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Dataset . 2016
Provider: Zenodo
Zenodo
Dataset . 2016
Provider: Datacite
Zenodo
Dataset . 2016
Provider: Datacite
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research data . Dataset . 2016

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

Ioannou, Yani;