TensorBNN: Bayesian Inference for Neural Networks using Tensorflow.
Braden KronheimMichelle P. KucheraHarrison B. ProsperPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- hyperparameters
- variational inference
- bayesian model
- statistical inference
- weighted model counting
- bayesian models
- back propagation
- gibbs sampler
- probabilistic modeling
- particle filter
- artificial neural networks
- variational bayes
- expectation maximization
- competitive learning
- text mining
- expectation propagation
- variational approximation
- markov chain monte carlo
- prior distribution
- hidden variables
- neural network model
- decision trees