Heavy-tailed random weights in square feedforward DNNs produce multiple stable fixed point attractors, while Gaussian weights yield a single fixed point, with a non-monotone dependence on depth.
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Random weights of DNNs and emergence of fixed points
Heavy-tailed random weights in square feedforward DNNs produce multiple stable fixed point attractors, while Gaussian weights yield a single fixed point, with a non-monotone dependence on depth.