Learning may need only a few bits of synaptic precision

12 Feb 2016Carlo BaldassiFederica GeraceCarlo LucibelloLuca SagliettiRiccardo Zecchina

Learning in neural networks poses peculiar challenges when using discretized rather then continuous synaptic states. The choice of discrete synapses is motivated by biological reasoning and experiments, and possibly by hardware implementation considerations as well... (read more)

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