DL Basics — PyTorch MLPs, CNNs, Sequences, Fine-Tuning Discipline
Back to M4 — Fine-Tuning Discipline + Defense

DL Defense: NLP Mini + CV Mini Rebuild of Weaker

Defend both mini-labs + protocol. Rebuild brief + rubric, then LLM review.

71 minutesProject submission
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Assignment Instructions

Brief

Rebuild the weaker of your two mini-labs and defend both plus the shared eval protocol from m4-l13. Deterministic checks then LLM review.

Dataset

Same CV + NLP splits; rebuild uses a fresh seed.

Starter guardrails (88)

  • Protocol template: metric bars, freeze statements, leak checklist, cost log.
  • Rebuild diff scoped to the weakness named in the defense.

Deterministic checks

Both mini-lab bars re-verified (acc >= 0.70 CV, F1 >= 0.78 NLP); protocol sections complete.

100-pt rubric

  • Weaker-lab diagnosis honesty: 20
  • Rebuild quality (bar re-met): 25
  • Protocol completeness: 20
  • Defense clarity (per-class / per-slice command): 20
  • Reproducibility (fresh seed): 15
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