BranchyNet: Fast inference via early exiting from deep neural networks

Deep neural networks are state of the art methods for many learning tasks due to their ability to extract increasingly better features at each network layer. However, the improved performance of additional layers in a deep network comes at the cost of added latency and energy usage in feedforward in...

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Vydané v:	2016 23rd International Conference on Pattern Recognition (ICPR) s. 2464 - 2469
Hlavní autori:	Teerapittayanon, Surat, McDanel, Bradley, Kung, H. T.
Médium:	Konferenčný príspevok..
Jazyk:	English Japanese
Vydavateľské údaje:	IEEE 01.12.2016
Predmet:	Entropy Feedforward neural networks Inference algorithms Optimization Runtime Training
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