Neuroevolution with genetic algorithms and particle swarm optimization can train simulated optical neural networks to accuracies comparable to gradient-based methods on small classification tasks.
Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups,
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Efficient training and design of photonic neural network through neuroevolution
Neuroevolution with genetic algorithms and particle swarm optimization can train simulated optical neural networks to accuracies comparable to gradient-based methods on small classification tasks.