Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks.
Sunil PaiZhanghao SunTyler W. HughesTaewon ParkBen BartlettIan A. D. WilliamsonMomchil MinkovMaziyar MilanizadehNathnael AbebeFrancesco MorichettiAndrea MelloniShanhui FanOlav SolgaardDavid A. B. MillerPublished in: CoRR (2022)
Keyphrases
- deep learning
- back propagation
- neural network
- artificial neural networks
- feed forward
- hidden layer
- neural nets
- bp algorithm
- backpropagation algorithm
- feed forward neural networks
- training algorithm
- unsupervised learning
- multilayer perceptron
- unsupervised feature learning
- backpropagation neural networks
- bp neural network
- trained neural network
- machine learning
- fuzzy logic
- feedforward neural networks
- learning algorithm
- cascade correlation
- activation function
- backpropagation neural network
- weakly supervised
- error back propagation
- neural network ensemble
- pattern recognition
- mental models
- multilayer perceptron neural network
- recurrent neural networks
- multi layer
- genetic algorithm
- multilayer neural network
- competitive learning
- semi supervised
- data mining