Empirical Analysis of Full-System Approximation on Non-Spiking and Spiking Neural Networks
Author:
Affiliation:
1. University of Bremen,Institute of Electrodynamics and Microelectronics (ITEM.ids),Germany
2. University of Bremen,Institute for Theoretical Physics,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176331/10176367/10176919.pdf?arnumber=10176919
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1. Spiking Neural Networks Hardware Implementations and Challenges
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3. A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets
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