Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology.
Bastian RieckMatteo TogninalliChristian BockMichael MoorMax HornThomas GumbschKarsten M. BorgwardtPublished in: CoRR (2018)
Keyphrases
- neural network
- network architecture
- complexity measures
- artificial neural networks
- neural computation
- similarity measure
- fuzzy logic
- associative memory
- pattern recognition
- computational complexity
- worst case
- genetic algorithm
- neural learning
- competitive learning
- bio inspired
- multi layer
- recurrent neural networks
- decision problems
- self organizing maps
- fault diagnosis
- information theory
- space complexity
- learning rules
- spiking neural networks
- algebraic structure
- back propagation
- neural fuzzy
- artificial intelligence