Partially Stochastic Infinitely Deep Bayesian Neural Networks.
Sergio Calvo-OrdonezMatthieu MeunierFrancesco PiattiYuantao ShiPublished in: CoRR (2024)
Keyphrases
- neural network
- belief nets
- monte carlo sampling
- pattern recognition
- fuzzy logic
- multi layer
- hopfield neural network
- monte carlo
- back propagation
- genetic algorithm
- bayesian decision
- artificial neural networks
- bayesian networks
- recurrent neural networks
- bayesian inference
- finite number
- monte carlo methods
- learning automata
- activation function
- maximum likelihood
- training process
- posterior distribution
- data sets
- neural network model
- fuzzy systems
- network architecture
- gaussian processes
- bayesian learning
- stochastic model
- multilayer perceptron
- stochastic optimization
- posterior probability
- feed forward
- decision making
- stochastic nature
- data driven