Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time.
Roberto L. CastroDiego AndradeBasilio B. FraguelaPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- convolutional network
- hyperparameters
- model selection
- cross validation
- bayesian inference
- closed form
- parameter settings
- support vector
- random sampling
- maximum likelihood
- bayesian framework
- gaussian process
- prior information
- sample size
- em algorithm
- incremental learning
- noise level
- maximum a posteriori
- gaussian processes
- regularization parameter
- incomplete data
- missing values
- parameter optimization
- parameter space
- higher order
- expectation maximization
- grid search
- probabilistic model
- prior knowledge
- face recognition