What causes silent performance degradation in deployed Keras models?

Silent degradation is caused by data drift, pipeline inconsistencies, or feature corruption without system errors.

Unlike crashes, silent degradation does not throw exceptions. It is caused by gradual input distribution shift, missing preprocessing steps in production, or upstream data schema changes.