Understanding neural-network denoisers through an activation function perspective.
Yuxiang LiBo ZhangRaoul FlorentPublished in: ICIP (2017)
Keyphrases
- activation function
- neural network
- feed forward neural networks
- hidden layer
- back propagation
- artificial neural networks
- feed forward
- sigmoid function
- hidden neurons
- neural nets
- feedforward neural networks
- multilayer perceptron
- learning rate
- single hidden layer
- hidden nodes
- radial basis function
- connection weights
- network architecture
- backpropagation algorithm
- fuzzy neural network
- basis functions
- single layer
- pattern recognition
- chaotic neural network
- extreme learning machine
- fuzzy logic
- rbf neural network
- genetic algorithm
- fault diagnosis
- feature selection
- training phase
- imprecise data
- recurrent neural networks
- machine learning