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M4 — Fine-Tuning Discipline + Defense
Fine-tuning video, TF parity note, DL exit quiz, two-mini-lab defense submission.
Module Content
Fine-Tuning Discipline (Freeze Schedules, LR, Leakage, Eval)
Outcome: write eval protocol shared by both mini-labs. Curated video (9:24, verified 2026-09-24 via yt-dlp): Freezing vs. Unfreezing Layers: The Ultimate Guide to Transfer Learning (SH AI Academy) Watch: https://www.youtube.com/watch?v=FcG-xaWBvlI Notes: Feature extraction vs fine-tuning; freeze schedules, when/how to unfreeze, LR discipline. Lab: write the eval protocol (leakage + eval rules) shared by both mini-labs. Key moments: No chapter markers on source; key beats: freezing rationale, unfreeze schedule, LR guidance, eval pointers.
TF Conceptual Parity Note (Keras Map of L1-L5, No TF Lab)
Map 5 PyTorch ops to Keras equivalents. Mapping table.
Quiz: DL Exit (25Q/45 min/pass-75, core 100%)
25Q combined exit. Core items 100% to pass.
DL Defense: NLP Mini + CV Mini Rebuild of Weaker
Defend both mini-labs + protocol. Rebuild brief + rubric, then LLM review.