Training algorithm breaks barriers to deep physical neural networks
ScienceDaily
Training algorithm breaks barriers to deep physical neural networks
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.
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