Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network.
Chen LiJinZhe JiangYaqian ZhaoRenGang LiEndong WangXin ZhangKun ZhaoPublished in: CoRR (2021)
Keyphrases
- hyperparameters
- convolutional neural network
- model selection
- parameter optimization
- cross validation
- random sampling
- closed form
- grid search
- bayesian framework
- support vector
- maximum likelihood
- variational bayes
- neural network
- face detection
- sample size
- bayesian inference
- em algorithm
- noise level
- prior information
- computer vision
- face recognition
- multi class
- incomplete data
- missing values
- generative model
- active learning
- object detection