Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery.
Scott WisdomThomas PowersJames W. PittonLes E. AtlasPublished in: CoRR (2016)
Keyphrases
- recurrent neural networks
- neural network
- feed forward
- recurrent networks
- complex valued
- echo state networks
- high dimensional
- feedforward neural networks
- hidden layer
- sparse data
- neural model
- sparse representation
- artificial neural networks
- nonlinear dynamic systems
- reservoir computing
- classification rules
- hebbian learning
- chaotic time series
- cascade correlation
- data mining
- long short term memory
- real time
- prior knowledge
- machine learning
- neural models