Efficient Stochastic Inference of Bitwise Deep Neural Networks

20 Nov 2016Sebastian VogelChristoph SchornAndre GuntoroGerd Ascheid

Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight. We present a method that exploits ensemble decisions based on multiple stochastically sampled network models to increase performance figures of bitwise neural networks in terms of classification accuracy at inference... (read more)

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