A Differential Entropy Estimator for Training Neural Networks.
Georg PichlerPierre Jean A. ColomboMalik BoudiafGünther KolianderPablo PiantanidaPublished in: ICML (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- feedforward neural networks
- least squares
- pattern recognition
- neural network training
- backpropagation algorithm
- training patterns
- maximum likelihood
- training examples
- supervised learning
- training set
- training samples
- test set
- fuzzy logic
- rule extraction
- training phase
- error back propagation
- recurrent neural networks
- mutual information
- artificial neural networks
- genetic algorithm
- machine learning
- estimation algorithm
- network architecture
- feed forward
- expectation maximization
- text classification
- training data
- neural network structure