Why is spectral norm important in deep learning stability?

Updated May 16, 2026

Short answer

Spectral norm controls maximum amplification of vectors.

Deep explanation

Spectral norm equals largest singular value of a matrix. It measures worst-case scaling effect. Large spectral norms cause exploding gradients and unstable training.

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