Quantitative Gaussian approximation of randomly initialized deep neural networks.
Andrea BasteriDario TrevisanPublished in: Mach. Learn. (2024)
Keyphrases
- neural network
- gaussian convolution
- linear computational complexity
- series expansion
- pattern recognition
- taylor series expansion
- neural network model
- artificial neural networks
- approximation algorithms
- fuzzy logic
- approximation error
- qualitative and quantitative
- multilayer perceptron
- error bounds
- back propagation
- polynomial approximation
- recurrent neural networks
- relative error
- approximation methods
- expectation propagation
- multi layer perceptron
- gaussian noise
- fuzzy systems
- maximum likelihood
- genetic algorithm
- machine learning
- fault diagnosis
- control system
- multiscale