Topological obstructions in neural networks learning.
Serguei BarannikovGrigorii SotnikovIlya TrofimovAlexander KorotinEvgeny BurnaevPublished in: CoRR (2020)
Keyphrases
- neural network
- learning process
- learning algorithm
- neural nets
- supervised learning
- learning systems
- connectionist systems
- error back propagation
- learning rules
- multi layer
- learning analytics
- learning tasks
- empirical studies
- artificial intelligence
- mobile robot
- data sets
- genetic algorithm
- recurrent networks
- feedforward neural networks
- learning capabilities
- inductive inference
- reinforcement learning
- back propagation
- online learning
- incremental learning
- recurrent neural networks
- learning scenarios
- learning problems
- unsupervised learning