Bayesian optimization for the design of deep neural networks.
Nikolas GiannakisNikolaos GorgolisIoannis HatzilygeroudisPublished in: IISA (2021)
Keyphrases
- neural network
- optimal design
- artificial neural networks
- pattern recognition
- data driven
- optimization algorithm
- optimization problems
- bayesian learning
- fuzzy systems
- computer aided
- design process
- gaussian processes
- posterior distribution
- neural nets
- global optimization
- software architecture
- back propagation
- software engineering
- bayesian networks
- case study
- genetic algorithm