Single-parameter Monte Carlo mutation-selection trains deep networks and a simple Transformer on MNIST and Tiny Shakespeare without backpropagation.
A solution to the learning dilemma for recurrent networks of spiking neurons.Nature Communications,11, 3625 (2020)
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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.