Are alternatives to backpropagation useful for training Binary Neural Networks? An experimental study in image classification.
Ben CrulisBarthélemy SerresCyril De RunzGilles VenturiniPublished in: SAC (2023)
Keyphrases
- back propagation
- neural network
- training algorithm
- image classification
- backpropagation algorithm
- feed forward neural networks
- feedforward neural networks
- error back propagation
- artificial neural networks
- feed forward
- multilayer neural network
- hidden layer
- multilayer perceptron
- multilayer perceptron neural network
- neural nets
- bp algorithm
- bp neural network
- backpropagation neural network
- fuzzy logic
- training process
- feature extraction
- activation function
- training patterns
- multi layer perceptron
- neural network ensemble
- backpropagation neural networks
- cascade correlation
- learning algorithm
- levenberg marquardt
- trained neural network
- competitive learning
- single hidden layer
- multi layer
- radial basis
- genetic algorithm
- learning rules
- learning rate
- radial basis function
- rbf network
- recurrent neural networks
- training set