Stability for the Training of Deep Neural Networks and Other Classifiers.
Leonid BerlyandPierre-Emmanuel JabinC. Alex SafstenPublished in: CoRR (2020)
Keyphrases
- neural network
- multi layer perceptron
- training process
- training set
- training data
- training samples
- training algorithm
- test set
- feed forward neural networks
- training examples
- backpropagation algorithm
- pattern recognition
- classifier training
- feedforward neural networks
- trained classifiers
- training set size
- neural network training
- benchmark classification problems
- linear classifiers
- training phase
- error back propagation
- radial basis function network
- supervised training
- fuzzy logic
- linear svm
- artificial neural networks
- deep architectures
- feature set
- training stage
- learning rules
- support vector
- learning classifier systems
- feature selection
- multilayer perceptron
- training and testing data
- classification accuracy
- boosted classifiers
- supervised learning
- ensemble learning
- genetic algorithm
- neuro fuzzy systems
- naive bayes
- machine learning algorithms
- back propagation
- nearest neighbour
- activation function
- svm classifier
- classification algorithm
- neural network model
- feed forward
- multi layer