When Neurons Fail

27 Jun 2017El Mahdi El MhamdiRachid Guerraoui

We view a neural network as a distributed system of which neurons can fail independently, and we evaluate its robustness in the absence of any (recovery) learning phase. We give tight bounds on the number of neurons that can fail without harming the result of a computation... (read more)

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