TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks.
Lile CaiAnne-Maelle BarnecheArthur HerboutChuan Sheng FooJie LinVijay Ramaseshan ChandrasekharMohamed M. Sabry AlyPublished in: ISLPED (2019)
Keyphrases
- neural network
- high accuracy
- computational cost
- training process
- artificial neural networks
- error rate
- data sets
- genetic algorithm
- database
- fuzzy systems
- correlation coefficient
- computational efficiency
- low energy
- improved accuracy
- energy minimization
- feed forward
- high precision
- graph cuts
- fuzzy logic
- control system
- pattern recognition