Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks.
Hyunghun ChoYongjin KimEunjung LeeDaeyoung ChoiYongjae LeeWonjong RheePublished in: IEEE Access (2020)
Keyphrases
- neural network
- gaussian processes
- optimization strategies
- optimization algorithm
- artificial neural networks
- belief nets
- pattern recognition
- posterior probability
- genetic algorithm
- monte carlo methods
- fine tuning
- optimization problems
- fuzzy systems
- gaussian process
- parameter optimization
- back propagation
- multilayer perceptron
- recurrent neural networks
- associative memory
- optimization methods
- training process
- feed forward
- bayesian learning
- global optimization
- optimization method