Deep learning generalization error follows power-law scaling with training set size across multiple domains, with model size scaling sublinearly with data size.
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Deep Learning Scaling is Predictable, Empirically
Deep learning generalization error follows power-law scaling with training set size across multiple domains, with model size scaling sublinearly with data size.