TensorBNN: Bayesian inference for neural networks using TensorFlow.
Braden KronheimMichelle P. KucheraHarrison B. ProsperPublished in: Comput. Phys. Commun. (2022)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- statistical inference
- artificial neural networks
- variational inference
- hidden variables
- variational bayes
- back propagation
- hierarchical bayesian
- probabilistic modeling
- neural network model
- weighted model counting
- machine learning
- gibbs sampler
- bayesian models
- competitive learning
- markov chain monte carlo