首页|New Findings from University of Utah in the Area of Machine Learning Described ( Interpreting and Generalizing Deep Learning In Physics-based Problems With Funct ional Linear Models)
New Findings from University of Utah in the Area of Machine Learning Described ( Interpreting and Generalizing Deep Learning In Physics-based Problems With Funct ional Linear Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting out of Salt Lake City, Utah, by NewsRx ed itors, research stated, “Although deep learning has achieved remarkable success in various scientific machine learning applications, its opaque nature poses con cerns regarding interpretability and generalization capabilities beyond the training data. Interpretability is crucial and often desired in modeling physical systems.”
Salt Lake CityUtahUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of Utah
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