Speeding up convolutional neural networks with low rank expansions
The focus of this paper is speeding up the application of convolutional neural networks. While delivering impressive results across a range of computer vision and machine learning tasks, these networks are computationally demanding, limiting their deployability. Convolutional layers generally consum...
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| Format: | Conference item |
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BMVA Press
2014
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