Programmable tanh- and ReLU-like Optoelectronic Activation Functions for Neuromorphic Photonic Circuits.
Christos PappasStefanos KovaiosMiltiadis Moralis-PegiosApostolos TsakyridisGeorge GiamougiannisJoris Van KerrebrouckGertjan CoudyzerXin YinNikos PlerosPublished in: OFC (2023)
Keyphrases
- floating gate
- activation function
- neural network
- artificial neural networks
- feed forward
- back propagation
- neural architecture
- neural nets
- learning rate
- feed forward neural networks
- hidden layer
- multilayer perceptron
- network architecture
- radial basis function
- multi layer perceptron
- basis functions
- synaptic weights
- pattern recognition
- hardware implementation
- fuzzy neural network
- hidden nodes
- random variables