Artificial Neural Network Hyperparameters Optimization: A Survey.
Zahraa Saddi KadhimHasanen S. AbdullahKhalil I. GhathwanPublished in: Int. J. Online Biomed. Eng. (2022)
Keyphrases
- hyperparameters
- artificial neural networks
- model selection
- closed form
- grid search
- bayesian inference
- cross validation
- bayesian framework
- prior information
- parameter optimization
- em algorithm
- random sampling
- sample size
- gaussian process
- gaussian processes
- support vector
- regularization parameter
- noise level
- feature selection
- maximum a posteriori
- back propagation
- parameter settings
- missing values
- expectation maximization
- maximum likelihood
- support vector machine
- prior knowledge
- image processing
- data sets