End-to-end optical backpropagation for training neural networks

23 Dec 2019Xianxin GuoThomas D. BarrettZhiming M. WangA. I. Lvovsky

We propose the first 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 passive optical elements... (read more)

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