Learning of deep convolutional network image classifiers via stochastic gradient descent and over-parametrization

Ejemplares similares

• On the rate of convergence of an over-parametrized Transformer classifier learned by gradient descent
  por: Kohler, Michael, et al.
  Publicado: (2023)
• Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent
  por: Kohler, Michael, et al.
  Publicado: (2024)
• On the rate of convergence of an over-parametrized deep neural network regression estimate learned by gradient descent
  por: Kohler, Michael
  Publicado: (2025)
• Statistically guided deep learning
  por: Kohler, Michael, et al.
  Publicado: (2025)
• Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model
  por: Kohler, Michael, et al.
  Publicado: (2020)