Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness.
Pengzhan JinLu LuYifa TangGeorge Em KarniadakisPublished in: Neural Networks (2020)
Keyphrases
- data distribution
- deep learning
- generalization error
- neural network
- data streams
- upper bound
- classification error
- model selection
- learning algorithm
- cross validation
- unsupervised learning
- data points
- training set
- sample size
- high dimensional data
- index structure
- training data
- mental models
- active learning
- machine learning
- pattern recognition
- artificial neural networks
- lower bound
- decision trees
- database