Training deep neural networks with discrete state transition.
Guoqi LiLei DengLei TianHaotian CuiWentao HanJing PeiLuping ShiPublished in: Neurocomputing (2018)
Keyphrases
- state transition
- neural network
- training process
- training algorithm
- state transitions
- input output
- state transition model
- global exponential stability
- black box
- deep architectures
- state space
- hidden markov models
- multi layer perceptron
- feedforward neural networks
- feed forward neural networks
- markov chain
- backpropagation algorithm
- artificial neural networks
- back propagation
- neural network structure
- multilayer perceptron
- neural network model
- finite state machines
- multi layer
- deep learning
- recurrent neural networks
- transition model
- activation function
- hidden layer
- genetic algorithm
- sufficient conditions
- databases