Training Dynamical Binary Neural Networks With Equilibrium Propagation.
Jérémie LaydevantMaxence ErnoultDamien QuerliozJulie GrollierPublished in: CVPR Workshops (2021)
Keyphrases
- neural network
- training process
- training algorithm
- neural network training
- feedforward neural networks
- pattern recognition
- multi layer perceptron
- training phase
- backpropagation algorithm
- feed forward neural networks
- error back propagation
- neural network structure
- multi layer
- back propagation
- training examples
- training set
- artificial neural networks
- recurrent networks
- genetic algorithm
- nash equilibrium
- supervised learning
- online learning
- cooperative
- hidden layer
- fuzzy logic
- neural network model
- wave propagation
- e learning
- training patterns
- training samples
- expert systems
- data sets
- variational inequalities
- evolutionary algorithm
- fuzzy neural network
- active learning
- fuzzy systems
- neural nets
- feed forward
- incomplete information