A tight upper bound on the generalization error of feedforward neural networks.
Aydin SarrafPublished in: Neural Networks (2020)
Keyphrases
- feedforward neural networks
- generalization error
- cross validation
- model selection
- learning algorithm
- upper bound
- neural network
- back propagation
- active learning
- recurrent neural networks
- training set
- training data
- error function
- hidden layer
- sample size
- training error
- supervised learning
- training algorithm
- multilayer perceptron
- feed forward
- machine learning
- learning rate
- activation function
- lower bound
- training samples
- variable selection
- pairwise
- data sets
- probabilistic model
- artificial neural networks