Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation.
Sana EbrahimiRishi AdvaniAbolfazl AsudehPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- genetic algorithm
- pattern recognition
- error back propagation
- feedforward neural networks
- feed forward
- training examples
- monte carlo
- backpropagation algorithm
- evaluation criteria
- training set
- deep architectures
- supervised learning
- training phase
- artificial neural networks
- feature selection
- neural network training
- recurrent networks
- training patterns
- radial basis function network
- expert systems
- evaluation model
- fuzzy systems
- multi layer
- evaluation metrics
- training samples
- neural network model
- self organizing maps
- test set