On the Selection of Hyperparameters in Convolutional Neural Networks.
Donglin WangQiang WuPublished in: CSCI (2021)
Keyphrases
- hyperparameters
- convolutional neural networks
- model selection
- cross validation
- closed form
- bayesian framework
- bayesian inference
- em algorithm
- regularization parameter
- convolutional network
- support vector
- prior information
- incremental learning
- gaussian process
- noise level
- maximum a posteriori
- gaussian processes
- incomplete data
- sample size
- maximum likelihood
- random sampling
- parameter space
- upper bound
- high resolution