Diagnosing and Fixing NaN Loss in Keras Mixed‑Precision Training
When Keras mixed‑precision training stalls with NaN loss, the culprit is often hidden in unsupported layers, missing loss scaling, or incompatible optimizers. This diagnostic guide walks through a concise checklist, quick checks, and concrete fixes to get your model back on track.
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