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math.ST2019★ 1 cited
Analysis of the rate of convergence of neural network regression estimates which are easy to implement
Alina Braun, Michael Kohler, Adam Krzyzak
Recent results in nonparametric regression show that for deep learning, i.e., for neural network estimates with many hidden layers, we are able to achieve good rates of convergence…
stat.ML2019
Estimation of a function of low local dimensionality by deep neural networks
Michael Kohler, Adam Krzyzak, Sophie Langer
Deep neural networks (DNNs) achieve impressive results for complicated tasks like object detection on images and speech recognition. Motivated by this practical success, there is n…