Bayesian neural networks via MCMC: a Python-based tutorial.
Rohitash ChandraRoyce ChenJoshua SimmonsPublished in: CoRR (2023)
Keyphrases
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- monte carlo
- open source
- back propagation
- artificial neural networks
- markov chain
- bayesian learning
- programming language
- probability distribution
- bayesian networks
- multilayer perceptron
- neural network model
- fuzzy systems
- feed forward
- self organizing maps
- hyperparameters
- maximum likelihood
- open source software
- gaussian processes
- expectation propagation
- generative model
- dirichlet process
- pattern recognition
- fault diagnosis
- probabilistic model
- model selection
- fuzzy logic
- case study
- latent variables
- graphical user interface
- bayesian methods
- approximate inference
- parameter estimation
- prior information
- particle filtering
- recurrent neural networks
- bayesian framework