Visual Analysis of the Impact of Neural Network Hyper-Parameters.
Daniel JönssonGabriel EilertsenHezi ShiJianmin ZhengAnders YnnermanJonas UngerPublished in: MLVis@Eurographics/EuroVis (2020)
Keyphrases
- hyperparameters
- neural network
- model selection
- cross validation
- support vector
- closed form
- gaussian process
- bayesian framework
- bayesian inference
- em algorithm
- random sampling
- variational bayes
- prior information
- incremental learning
- posterior distribution
- noise level
- maximum likelihood
- incomplete data
- sample size
- maximum a posteriori
- artificial neural networks
- bayesian methods
- generative model
- genetic algorithm ga
- missing values
- prior knowledge
- genetic algorithm
- data mining