Multiple samples from probabilistic networks improve DNN accuracy over single deterministic samples, with an energy tradeoff formula for choosing between more samples and more bits.
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Improving deep neural network performance through sampling
Multiple samples from probabilistic networks improve DNN accuracy over single deterministic samples, with an energy tradeoff formula for choosing between more samples and more bits.