Deep Neural Network Approximation Theory.
Philipp GrohsDmytro PerekrestenkoDennis ElbrächterHelmut BölcskeiPublished in: CoRR (2019)
Keyphrases
- neural network
- pattern recognition
- neural network model
- theoretical framework
- artificial neural networks
- theoretical basis
- back propagation
- approximation error
- computational model
- approximation algorithms
- central limit theorem
- data sets
- difference equations
- relative error
- network architecture
- training algorithm
- training process
- multilayer perceptron
- basis functions
- knn
- np hard
- multiscale
- knowledge base
- information systems