Speeding up convolutional neural networks with low rank expansions

Speeding up convolutional neural networks with low rank expansions

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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...

Podrobná bibliografie
Hlavní autoři:	Jaderberg, M, Vedaldi, A, Zisserman, A
Médium:	Conference item
Vydáno:	BMVA Press 2014

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