Spectrally-normalized margin bounds for neural networks.
Peter L. BartlettDylan J. FosterMatus TelgarskyPublished in: NIPS (2017)
Keyphrases
- neural network
- upper bound
- lower bound
- pattern recognition
- fuzzy logic
- genetic algorithm
- artificial neural networks
- upper and lower bounds
- back propagation
- neural network model
- recurrent neural networks
- self organizing maps
- activation function
- maximum margin
- worst case
- hidden layer
- training algorithm
- objective function
- training error
- rademacher complexity
- control system
- support vector
- multi layer
- network architecture
- average case
- worst case bounds