Proximal Mean-field for Neural Network Quantization.
Thalaiyasingam AjanthanPuneet Kumar DokaniaRichard I. HartleyPhilip H. S. TorrPublished in: CoRR (2018)
Keyphrases
- neural network
- back propagation
- artificial neural networks
- pattern recognition
- self organizing maps
- network architecture
- markov random field
- statistical mechanics
- feed forward neural networks
- bp neural network
- feed forward
- markov networks
- network model
- neural network model
- neural network is trained
- multi layer
- prediction model
- fault diagnosis
- linear complexity
- learning vector quantization
- fermentation process
- deterministic annealing
- quantization error
- em algorithm
- learning algorithm