Training deep neural networks with discrete state transition
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DOI: 10.1016/j.neucom.2017.06.058
Abstract: Abstract Deep neural networks have been achieving booming breakthroughs in various artificial intelligence tasks, however they are notorious for consuming unbearable hardware resources, training time and power. The emerging pruning/binarization methods, which aim at both… read more here.
Keywords: discrete state; neural networks; deep neural; transition ... See more keywords