seniorKeras
How does Keras handle mixed precision stability issues?
Updated May 16, 2026
Short answer
Loss scaling is used to maintain numerical stability in mixed precision.
Deep explanation
Float16 can underflow gradients, so dynamic loss scaling multiplies loss before backprop and rescales gradients afterward to maintain stability.
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