Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective.
Stephan WojtowytschWeinan EPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- multi layer perceptron
- feed forward neural networks
- neural network model
- neural network training
- artificial neural networks
- recurrent networks
- supervised learning
- natural language processing
- multi layer
- back propagation
- error back propagation
- bayesian inference
- test set
- closed form
- em algorithm
- online learning
- support vector machine
- hidden markov models
- training set
- genetic algorithm
- recurrent neural networks
- belief networks
- fuzzy logic
- information extraction
- backpropagation algorithm
- training data