Quantization-aware training for low precision photonic neural networks.
Manos KirtasA. OikonomouNikolaos PassalisGeorge Mourgias-AlexandrisMiltiadis Moralis-PegiosNikos PlerosAnastasios TefasPublished in: Neural Networks (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- back propagation
- backpropagation algorithm
- feedforward neural networks
- error back propagation
- genetic algorithm
- neural network structure
- neural network training
- training patterns
- multilayer perceptron
- pattern recognition
- fuzzy logic
- activation function
- data sets
- computational complexity
- supervised learning
- online learning
- neural network model
- training samples
- competitive learning
- radial basis function network
- quantization error
- network architecture
- recurrent networks
- motion estimation
- hidden markov models
- self organizing maps