Single-parameter Monte Carlo mutation-selection trains deep networks and a simple Transformer on MNIST and Tiny Shakespeare without backpropagation.
Storing limit cycles using delayed feedback neural networks.Advances in Complex Systems,11(03), 433–442 (2008)
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Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks
Single-parameter Monte Carlo mutation-selection trains deep networks and a simple Transformer on MNIST and Tiny Shakespeare without backpropagation.