Barron Spaces and the Compositional Function Spaces for Neural Network Models

18 Jun 2019Weinan EChao MaLei Wu

One of the key issues in the analysis of machine learning models is to identify the appropriate function space for the model. This is the space of functions that the particular machine learning model can approximate with good accuracy, endowed with a natural norm associated with the approximation process... (read more)

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