Single-parameter Monte Carlo mutation-selection trains deep networks and a simple Transformer on MNIST and Tiny Shakespeare without backpropagation.
Energy-information trade-off induces continuous and discontinuous phase transitions in lat- eral predictive coding.Science China Physics, Mechanics & Astronomy, 67, 260511 (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.