Visualizing the diversity of representations learned by Bayesian neural networks.
Dennis GrinwaldKirill BykovShinichi NakajimaMarina M.-C. HöhnePublished in: CoRR (2022)
Keyphrases
- neural network
- artificial neural networks
- fuzzy logic
- bayesian estimation
- genetic algorithm
- pattern recognition
- symbolic knowledge
- self organizing maps
- bayesian networks
- data driven
- back propagation
- fault diagnosis
- neural network model
- bayesian decision
- symbolic representation
- fuzzy systems
- multi layer
- fuzzy rules
- training process
- gaussian processes
- higher level
- activation function
- bayesian learning
- maximum likelihood
- learned models
- training set
- machine learning