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Dual-Task Heads & Model Assembly

Two task-specific heads (RUL regression + 3-class health classification) on top of a shared 32-d feature, totaling ~3.5 M parameters.

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What you'll unlock:

  • 1. Shared 32-Dimensional Feature Vector
  • 2. RUL Regression Head
  • 3. Health Classification Head (3 Classes)
  • 4. Complete DualTaskModel and Parameter Count
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