Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks.
Jung Guk ParkSungho JoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- convolutional neural networks
- convolutional network
- belief nets
- continuous functions
- monte carlo sampling
- marginal likelihood
- bayesian learning
- data driven
- deep learning
- bayesian networks
- error bounds
- hypervolume indicator
- expectation propagation
- approximation methods
- gaussian processes
- queueing networks
- bayesian methods
- bayesian inference
- approximation schemes
- closed form
- maximum likelihood
- edge detection
- machine learning
- data sets