Impact of GPU uncertainty on the training of predictive deep neural networks.
Maciej PietrowskiAndrzej GajdaTakuto YamamotoTaisuke KobayashiLana SinapayenEiji WatanabePublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- pattern recognition
- uncertain data
- back propagation
- backpropagation algorithm
- feedforward neural networks
- multi layer perceptron
- deep architectures
- neural network structure
- neural network training
- real time
- artificial neural networks
- fuzzy logic
- error back propagation
- training phase
- multilayer neural network
- activation function
- deep learning
- multilayer perceptron
- feed forward
- neural network model
- training examples
- supervised learning
- semi supervised
- genetic algorithm
- fuzzy systems
- recurrent neural networks
- predictive model
- self organizing maps
- graphics hardware
- recurrent networks
- test set
- data mining