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DL Basics — PyTorch MLPs, CNNs, Sequences, Fine-Tuning Discipline
16 lessons
1. M1 — Tensors, Autograd + Training Loop
Video lesson
1. PyTorch Tensors + Autograd
10m
Reading
2. MLP + Training Loop (Loss/Optimizer/Reg)
25m
Assignment
3. Quiz: Tensors + Training
20m
Project submission
4. Overfit-Curve Diagnosis Lab
150m
2. M2 — CNNs + Transfer Learning
Video lesson
1. CNN Concepts (Conv/Pool/Receptive Field)
12m
Reading
2. Transfer Learning: Frozen-Backbone + Unfreeze Ablation
30m
Assignment
3. Quiz: CNN + Transfer
20m
Project submission
4. Mini-Lab A: CV Classifier + Ablation
240m
3. M3 — Sequences + NLP Baselines
Video lesson
1. RNN/Sequence Concepts (LSTM/GRU, Masking, Embeddings)
9m
Reading
2. Sentiment: BoW vs Frozen-Mini-Transformer/API Baseline
30m
Assignment
3. Quiz: Sequences + Embeddings
20m
Project submission
4. Mini-Lab B: Sentiment + Error Slices
240m
4. M4 — Fine-Tuning Discipline + Defense
Video lesson
1. Fine-Tuning Discipline (Freeze Schedules, LR, Leakage, Eval)
8m
Reading
2. TF Conceptual Parity Note (Keras Map of L1-L5, No TF Lab)
25m
Assignment
3. Quiz: DL Exit (25Q/45 min/pass-75, core 100%)
45m
Project submission
4. DL Defense: NLP Mini + CV Mini Rebuild of Weaker
300m
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DL Basics — PyTorch MLPs, CNNs, Sequences, Fine-Tuning Discipline
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M3 — Sequences + NLP Baselines
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Sentiment: BoW vs Frozen-Mini-Transformer/API Baseline
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Sentiment: BoW vs Frozen-Mini-Transformer/API Baseline
Acc/F1 + error slices. Label-leak trap via id.
30 minutes
Reading
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