Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages.
Mirac SuzgunSebastian GehrmannYonatan BelinkovStuart M. ShieberPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- complex valued
- echo state networks
- recurrent networks
- reservoir computing
- neural model
- artificial neural networks
- memory usage
- databases
- cascade correlation
- hebbian learning
- feedforward neural networks
- expressive power
- real time
- cross lingual
- knowledge base
- long short term memory
- target language
- learning rules
- back propagation
- nonlinear dynamic systems
- machine learning