HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.
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Power law scaling for classification accuracy in physical neural networks
HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.