Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks.
Henning PetzkaLinara AdilovaMichael KampCristian SminchisescuPublished in: CoRR (2020)
Keyphrases
- generalization error
- neural network
- cross validation
- learning algorithm
- model selection
- linear classifiers
- active learning
- upper bound
- binary classification
- training data
- classification error
- training set
- sample size
- sample complexity
- training error
- target function
- back propagation
- learning machines
- conditional expectation
- generalization error bounds
- subspace information criterion
- supervised learning
- data sets
- feature vectors
- fuzzy logic
- training set size
- unbiased estimator
- genetic algorithm
- training algorithm
- machine learning
- feed forward
- weak classifiers
- object detection
- artificial neural networks
- perceptron learning