A Priori Estimates of the Generalization Error for Two-layer Neural Networks

ICLR 2019 Lei WuChao MaWeinan E

New estimates for the generalization error are established for a nonlinear regression problem using a two-layer neural network model. These new estimates are a priori in nature in the sense that the bounds depend only on some norms of the underlying functions to be fitted, not the parameters in the model... (read more)

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