Unverified50% confidenceFactExact time
Deep learning parameter dimensions are extremely high, making exact second-order methods infeasible; in practice, quasi-Newton methods (such as L-BFGS) or adaptive methods (such as Adam) are mostly used to exploit second-order information.
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10/22/2026
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