The phase diagram of approximation rates for deep neural networks.
Dmitry YarotskyAnton ZhevnerchukPublished in: NeurIPS (2020)
Keyphrases
- neural network
- pattern recognition
- error bounds
- neural network model
- training phase
- learning phase
- back propagation
- genetic algorithm
- artificial neural networks
- approximation algorithms
- approximation schemes
- fuzzy systems
- neural nets
- deep learning
- rule extraction
- competitive learning
- feed forward
- multi layer
- recurrent neural networks
- closed form
- np hard
- objective function
- machine learning