Training Simple Recurrent Networks Through Gradient Descent Algorithms.
M. Asunción CastañoFrancisco CasacubertaA. BonetPublished in: IWANN (1997)
Keyphrases
- recurrent networks
- data structure
- computational cost
- theoretical analysis
- black box
- spatio temporal
- early stopping
- machine learning algorithms
- training samples
- worst case
- significant improvement
- recurrent neural networks
- computational complexity
- biologically inspired
- feed forward
- training process
- linear svm
- multi modal
- orders of magnitude
- benchmark datasets
- neural network
- training set
- feature space
- search algorithm
- artificial intelligence
- learning algorithm
- genetic algorithm
- machine learning