Hyper Parameters Selection for Image Classification in Convolutional Neural Networks.
Sajid NazirShushma PatelDilip PatelPublished in: ICCI*CC (2018)
Keyphrases
- hyperparameters
- image classification
- convolutional neural networks
- model selection
- cross validation
- closed form
- bayesian inference
- random sampling
- noise level
- em algorithm
- variational bayes
- support vector
- sample size
- convolutional network
- prior information
- incomplete data
- bayesian framework
- feature extraction
- incremental learning
- maximum a posteriori
- maximum likelihood
- posterior distribution
- bayesian methods
- image processing
- computer vision
- conjugate priors
- data mining
- data sets
- dynamic programming