Bayesian Neural Networks via MCMC: A Python-Based Tutorial.
Rohitash ChandraJoshua A. SimmonsPublished in: IEEE Access (2024)
Keyphrases
- neural network
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- markov chain
- pattern recognition
- programming language
- bayesian learning
- fuzzy logic
- latent variables
- genetic algorithm
- bayesian estimation
- monte carlo
- probability distribution
- scripting language
- open source
- bayesian networks
- bayesian framework
- generative model
- particle filter
- multilayer perceptron
- maximum likelihood
- data association
- artificial neural networks
- gaussian processes
- development tools
- graphical user interface
- metropolis hastings algorithm
- fuzzy systems
- neural nets
- feed forward
- radial basis function
- back propagation
- open source software
- approximate inference
- associative memory
- recurrent neural networks
- neural network model
- parameter estimation