Can Shallow Neural Networks Beat the Curse of Dimensionality? A Mean Field Training Perspective.
Stephan WojtowytschWeinan EPublished in: IEEE Trans. Artif. Intell. (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- pattern recognition
- multi layer perceptron
- markov random field
- back propagation
- backpropagation algorithm
- neural network training
- viewpoint
- error back propagation
- bayesian inference
- training examples
- recurrent networks
- artificial neural networks
- training samples
- question answering
- recurrent neural networks
- neural network structure
- multi layer
- genetic algorithm
- radial basis function network
- statistical mechanics
- neural network model
- neural nets
- belief networks
- test set
- em algorithm
- natural language processing
- fuzzy logic
- information extraction
- training set
- natural language
- machine learning