Training neural networks with end-to-end optical backpropagation. (arXiv:2308.05226v1 [physics.optics])

Optics is an exciting route for the next generation of computing hardware for
machine learning, promising several orders of magnitude enhancement in both
computational speed and energy efficiency. However, to reach the full capacity
of an optical neural network it is necessary that the computing not only for
the inference, but also for the training be implemented optically. The primary
algorithm for training a neural network is backpropagation, in which the
calculation is performed in the order opposite to the …

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