Precision Learning is a research direction, seeking to integrate known operators into machine learning models to improve generalization und efficiency.

Known operators have been shown to hold the potential of reducing maximal error bounds when incorporated into deep neural networks. This suggests their inclusion could allow models to learn from less data and increase robustness.