Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks.
Adeyemi D. AdeoyePhilipp Christian PetersenAlberto BemporadPublished in: CoRR (2024)
Keyphrases
- gauss newton
- neural network
- levenberg marquardt
- least squares
- convergence analysis
- back propagation
- artificial neural networks
- bundle adjustment
- training algorithm
- active appearance models
- fuzzy logic
- gaussian process
- hidden layer
- newton method
- learning algorithm
- genetic algorithm
- objective function
- regularized least squares