Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks

15 Jun 2017Hesham MostafaBruno PedroniSadique SheikGert Cauwenberghs

Artificial neural networks (ANNs) trained using backpropagation are powerful learning architectures that have achieved state-of-the-art performance in various benchmarks. Significant effort has been devoted to developing custom silicon devices to accelerate inference in ANNs... (read more)

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