1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2024★ 1 cited
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
Michael Kohler, Adam Krzyzak, Benjamin Walter
Image classification based on over-parametrized convolutional neural networks with a global average-pooling layer is considered. The weights of the network are learned by gradient…
cs.CV2021
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling
Benjamin Walter
Image classification is considered, and a hierarchical max-pooling model with additional local pooling is introduced. Here the additional local pooling enables the hierachical mode…
stat.ML2020★ 1 cited
On the rate of convergence of image classifiers based on convolutional neural networks
M. Kohler, A. Krzyzak, B. Walter
Image classifiers based on convolutional neural networks are defined, and the rate of convergence of the misclassification risk of the estimates towards the optimal misclassificati…