Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design
IEEE Transactions on Nanotechnology(2020)
摘要
Uncertainty plays a key role in real-time machine learning. As a significant shift from standard deep networks, which does not consider any uncertainty formulation during its training or inference, Bayesian deep networks are being currently investigated where the network is envisaged as an ensemble of plausible models learnt by the Bayes' formulation in response to uncertainties in sensory data. B...
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关键词
Probability distribution,Bayes methods,Resistance,Hardware,Gaussian distribution,Training,Probabilistic logic
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