The training accuracy of two-layer neural networks: its estimation and understanding using random datasets.
Shuyue GuanMurray H. LoewPublished in: AIPR (2023)
Keyphrases
- neural network
- training and testing data
- multi layer
- training process
- training algorithm
- high accuracy
- estimation accuracy
- training dataset
- pattern recognition
- feed forward neural networks
- multi layer perceptron
- feedforward neural networks
- backpropagation algorithm
- training speed
- restricted boltzmann machine
- back propagation
- computational cost
- radial basis function network
- error analysis
- class imbalanced
- feed forward
- neural nets
- benchmark datasets
- classification accuracy
- fuzzy logic
- database
- genetic algorithm
- neural network training
- training data
- artificial neural networks
- density estimates
- markov random field
- training samples
- prediction accuracy
- training phase
- test set
- self organizing maps
- neural network model