What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory.
Rahul ParhiRobert D. NowakPublished in: CoRR (2021)
Keyphrases
- neural network
- learning rules
- back propagation
- theoretical insights
- theoretical basis
- fuzzy logic
- artificial neural networks
- multiresolution
- pattern recognition
- expert systems
- least squares
- data mining
- theoretical framework
- self organizing maps
- multi layer
- multilayer perceptron
- recurrent neural networks
- data sets
- general theory
- genetic algorithm
- network architecture
- neural network model
- b spline
- learning algorithm
- level set
- image sequences
- optical flow