Mixed-precision quantization-aware training for photonic neural networks.
Manos KirtasNikolaos PassalisAthina OikonomouMiltiadis Moralis-PegiosGeorge GiamougiannisApostolos TsakyridisGeorge Mourgias-AlexandrisNikolaos PlerosAnastasios TefasPublished in: Neural Comput. Appl. (2023)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer perceptron
- pattern recognition
- error back propagation
- neural network training
- back propagation
- feed forward neural networks
- feedforward neural networks
- fuzzy logic
- training patterns
- high precision
- training set
- backpropagation algorithm
- multilayer neural network
- training phase
- fuzzy systems
- multilayer perceptron
- feed forward
- genetic algorithm
- artificial neural networks
- supervised learning
- data sets
- uniform quantization
- feature selection
- training data
- recurrent networks
- hopfield neural network
- multi layer
- text classification
- rule extraction
- test set
- average precision
- recurrent neural networks