TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks.
Lile CaiAnne-Maelle BarnecheArthur HerboutChuan Sheng FooJie LinVijay Ramaseshan ChandrasekharMohamed M. SabryPublished in: CoRR (2018)
Keyphrases
- neural network
- high accuracy
- training process
- genetic algorithm
- energy minimization
- pattern recognition
- classification accuracy
- energy consumption
- computer vision
- energy saving
- energy efficiency
- fuzzy logic
- data sets
- neural nets
- feed forward
- network architecture
- data mining
- highly accurate
- improved accuracy
- fault diagnosis
- back propagation
- prediction accuracy
- computational cost
- artificial neural networks
- training data
- image processing
- artificial intelligence