Benign Overfitting in Deep Neural Networks under Lazy Training.
Zhenyu ZhuFanghui LiuGrigorios G. ChrysosFrancesco LocatelloVolkan CevherPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- deep architectures
- error back propagation
- multi layer perceptron
- back propagation
- neural network training
- training phase
- artificial neural networks
- fuzzy logic
- backpropagation algorithm
- training patterns
- deep learning
- decision trees
- training set
- multi layer
- feed forward
- neural network model
- breast cancer
- neural network structure
- genetic algorithm
- avoid overfitting
- online learning
- data sets
- malware detection
- network architecture
- radial basis function network
- support vector
- semi supervised
- neural nets
- multilayer perceptron
- self organizing maps
- training examples
- unsupervised learning
- supervised learning