Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks.
Bihi SabiriBouchra El AsriMaryem RhanouiPublished in: ICEIS (Revised Selected Papers) (2022)
Keyphrases
- hyperparameters
- neural network
- model selection
- cross validation
- closed form
- em algorithm
- bayesian inference
- bayesian framework
- variational bayes
- prior information
- random sampling
- support vector
- gaussian process
- incremental learning
- maximum likelihood
- artificial neural networks
- sample size
- conjugate priors
- maximum a posteriori
- noise level
- incomplete data
- parameter estimation
- posterior distribution
- genetic algorithm
- parameter space
- bayesian networks
- clustering algorithm