Training Recurrent Neural Networks against Noisy Computations during Inference.
Minghai QinDejan VucinicPublished in: CoRR (2018)
Keyphrases
- recurrent neural networks
- recurrent networks
- echo state networks
- feedforward neural networks
- neural network
- feed forward
- hidden layer
- feed forward neural networks
- reservoir computing
- long short term memory
- complex valued
- artificial neural networks
- neural model
- structured prediction
- cascade correlation
- hebbian learning
- chaotic time series
- nonlinear dynamic systems
- training process
- back propagation
- training algorithm
- bayesian inference
- inference process
- noisy data
- graphical models
- supervised learning
- long term
- training set
- training data
- biologically inspired
- probabilistic inference
- knowledge base
- machine learning