Fading memory as inductive bias in residual recurrent networks.
Igor DubininFelix EffenbergerPublished in: CoRR (2023)
Keyphrases
- recurrent networks
- inductive bias
- recurrent neural networks
- machine learning
- feed forward
- biologically inspired
- inductive learning
- prior knowledge
- pac learning
- neural network
- domain knowledge
- supervised learning
- training examples
- domain theory
- training set
- hypothesis space
- data sets
- upper bound
- worst case
- back propagation
- expert systems
- support vector
- reinforcement learning
- training data
- learning algorithm