Maximum Likelihood Training of Autoencoders.
Peter SorrensonFelix DraxlerArmand RousselotSander HummerichLea ZimmermanUllrich KöthePublished in: CoRR (2023)
Keyphrases
- maximum likelihood
- feedforward neural networks
- denoising
- supervised learning
- em algorithm
- discriminative training
- parameter estimation
- test set
- training examples
- gaussian distribution
- training process
- training phase
- likelihood function
- restricted boltzmann machine
- training set
- unsupervised learning
- expectation maximization
- database
- maximum a posteriori
- hyperparameters
- parameter learning
- artificial neural networks
- structured prediction