Inherent Weight Normalization in Stochastic Neural Networks.
Georgios DetorakisSourav DuttaAbhishek KhannaMatthew JerrySuman DattaEmre NeftciPublished in: NeurIPS (2019)
Keyphrases
- neural network
- weight update
- pattern recognition
- stochastic model
- stochastic optimization
- fuzzy logic
- neural network model
- genetic algorithm
- feed forward
- weighting scheme
- monte carlo
- artificial neural networks
- fault diagnosis
- probabilistic model
- recurrent neural networks
- neural nets
- multi layer
- network architecture
- preprocessing
- case study
- normalization method
- back propagation
- training process
- weight vector
- weight function
- information systems
- synaptic weights