Single-parameter Monte Carlo mutation-selection trains deep networks and a simple Transformer on MNIST and Tiny Shakespeare without backpropagation.
Bayesian neural networks via MCMC: A Python-based tutorial.IEEE Access,12, 70519–70549 (2024)
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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.