Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
Anh Mai NguyenAlexey DosovitskiyJason YosinskiThomas BroxJeff ClunePublished in: CoRR (2016)
Keyphrases
- neural network
- spiking neurons
- spiking neural networks
- hidden layer
- back propagation
- activation function
- fuzzy logic
- artificial neural networks
- recurrent networks
- neural network ensemble
- social networks
- neural network model
- pattern recognition
- network structure
- hidden neurons
- complex networks
- heterogeneous networks
- feedforward neural networks
- feed forward neural networks
- network design
- input variables
- neural model
- training algorithm
- multi layer
- neural models
- neural nets
- associative memory
- feed forward
- fault diagnosis
- connection weights
- output layer
- spike trains
- polynomial neural networks
- hidden units
- nonlinear functions
- multi layer perceptron
- network architecture
- fuzzy systems
- network model
- biologically inspired
- radial basis function
- basis functions
- self organizing maps
- genetic algorithm