Neural Networks can Learn Representations with Gradient Descent.
Alexandru DamianJason D. LeeMahdi SoltanolkotabiPublished in: COLT (2022)
Keyphrases
- neural network
- learning rules
- pattern recognition
- artificial neural networks
- function approximators
- back propagation
- genetic algorithm
- distributed representations
- loss function
- higher level
- cost function
- fuzzy logic
- objective function
- symbolic knowledge
- support vector machine
- self organizing maps
- fuzzy systems
- multiscale
- efficient learning
- cellular neural networks
- image segmentation
- decision trees