Using Particle Swarm Optimization with Gradient Descent for Parameter Learning in Convolutional Neural Networks.
Steven WesselsDustin van der HaarPublished in: CIARP (2021)
Keyphrases
- parameter learning
- convolutional neural networks
- bayesian networks
- structure learning
- generative model
- convolutional network
- statistical learning
- maximum likelihood
- conditional random fields
- em algorithm
- parameter estimation
- expectation maximization
- markov random field
- approximate inference
- graphical models
- hidden variables
- prior knowledge
- pairwise
- belief propagation
- maximum likelihood estimation
- probability distribution