Backpropagation through nonlinear units for the all-optical training of neural networks

We propose a practical scheme for end-to-end optical backpropagation in neural networks. Using saturable absorption for the nonlinear units, we find that the backward-propagating gradients required to train the network can be approximated in a surprisingly simple pump-probe scheme that requires only...

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Veröffentlicht in:	Photonics research (Washington, DC) DC), 2021-03, Vol.9 (3), p.B71
Hauptverfasser:	Guo, Xianxin, Barrett, Thomas D., Wang, Zhiming M., Lvovsky, A. I.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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