In this paper we introduce Photonic-Aware Neural Networks, i.e., neural network models compliant with the underlying photonic implementation. By exploiting proper training strategies, we demonstrate a limited F1-score degradation on a surface defect detection problem.
Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware
Marco CococcioniCo-primo
;Nicola AndriolliUltimo
2022-01-01
Abstract
In this paper we introduce Photonic-Aware Neural Networks, i.e., neural network models compliant with the underlying photonic implementation. By exploiting proper training strategies, we demonstrate a limited F1-score degradation on a surface defect detection problem.File in questo prodotto:
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