Automatically Avoiding Overfitting in Deep Neural Networks by Using Hyper-Parameters Optimization Methods.
Zahraa Saddi KadhimHasanen S. AbdullahKhalil I. GhathwanPublished in: Int. J. Online Biomed. Eng. (2023)
Keyphrases
- optimization methods
- hyperparameters
- cross validation
- neural network
- model selection
- optimization method
- optimization problems
- gaussian process
- support vector
- random sampling
- bayesian inference
- simulated annealing
- bayesian framework
- closed form
- maximum likelihood
- variational bayes
- artificial neural networks
- stochastic methods
- em algorithm
- prior information
- noise level
- incremental learning
- sample size
- incomplete data
- decision trees
- genetic algorithm
- upper bound
- bayesian methods
- posterior distribution
- supervised learning
- data sets