Regularizing Neural Networks via Minimizing Hyperspherical Energy.
Rongmei LinWeiyang LiuZhen LiuChen FengZhiding YuJames M. RehgLi XiongLe SongPublished in: CVPR (2020)
Keyphrases
- neural network
- total energy
- pattern recognition
- energy consumption
- back propagation
- energy minimization
- neural network model
- artificial neural networks
- genetic algorithm
- gibbs energy
- high energy
- feedforward neural networks
- recurrent neural networks
- training algorithm
- fuzzy logic
- neural nets
- competitive learning
- rule extraction
- energy saving
- fuzzy systems
- feed forward
- associative memory
- soft computing
- real time
- image processing
- low energy
- data streams
- self organizing maps
- sensor networks