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...
| Autores principales: | , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
Optical Society of America
2021
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