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- W2888934415 abstract "Fault-tolerance is an important property of safety critical systems, and there exist many established fault-tolerant technologies for conventional computing devices. As preliminary for fault-tolerant design of complex neural networks, this paper presents some simulation results of fault-tolerance of a small convolutional neural network for digit classification, and we show relations between error probability of synaptic weights and classification accuracy." @default.
- W2888934415 created "2018-09-07" @default.
- W2888934415 creator A5032752566 @default.
- W2888934415 date "2018-05-01" @default.
- W2888934415 modified "2023-09-25" @default.
- W2888934415 title "Preliminary Experiments on Fault-Tolerance of a Small Convolutional Neural Network" @default.
- W2888934415 cites W1965318644 @default.
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- W2888934415 doi "https://doi.org/10.1109/icce-china.2018.8448638" @default.
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