Rethinking Numerical Representations for Deep Neural Networks.
Parker HillBabak ZamiraiShengshuo LuYu-Wei ChaoMichael LaurenzanoMehrzad SamadiMarios C. PapaefthymiouScott A. MahlkeThomas F. WenischJia DengLingjia TangJason MarsPublished in: CoRR (2018)
Keyphrases
- neural network
- pattern recognition
- distributed representations
- neural network model
- back propagation
- artificial neural networks
- fuzzy logic
- genetic algorithm
- symbolic knowledge
- deep learning
- multiscale
- competitive learning
- qualitative models
- unsupervised feature learning
- numerical data
- technology enhanced learning
- fuzzy neural network
- network architecture
- multi layer
- neural nets
- feed forward
- sensitivity analysis
- self organizing maps
- higher level
- computer vision
- artificial intelligence