We show that gradient descent converges to a local minimizer, almost surely with random initialization. This is proved by applying the Stable Manifold Theorem from dynamical systems theory.
No takes yet. Share an insight, caveat, or question.
Lee et al. (2016) studied this question.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: