Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker
作者： Evangelos Stromatias , Daniel Neil , Francesco Galluppi , Michael Pfeiffer , Shih-Chii Liu
DOI: 10.1109/ISCAS.2015.7169034
关键词:
摘要: We demonstrate an interactive handwritten digit recognition system with a spike-based deep belief network running in real-time on SpiNNaker, biologically inspired many-core architecture. Results show that during the simulation SpiNNaker chip can deliver spikes under 1 μs, classification latency order of tens milliseconds, while consuming less than 0.3 W.
manchester.ac.uk参考文章(3)
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