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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
14m
Reading
2. MLP + Training Loop (Loss/Optimizer/Reg)
3m
Assignment
3. Quiz: Tensors + Training
6m
Project submission
4. Overfit-Curve Diagnosis Lab
71m
2. M2 — CNNs + Transfer Learning
Video lesson
1. CNN Concepts (Conv/Pool/Receptive Field)
10m
Reading
2. Transfer Learning: Frozen-Backbone + Unfreeze Ablation
3m
Assignment
3. Quiz: CNN + Transfer
6m
Project submission
4. Mini-Lab A: CV Classifier + Ablation
71m
3. M3 — Sequences + NLP Baselines
Video lesson
1. RNN/Sequence Concepts (LSTM/GRU, Masking, Embeddings)
17m
Reading
2. Sentiment: BoW vs Frozen-Mini-Transformer/API Baseline
3m
Assignment
3. Quiz: Sequences + Embeddings
6m
Project submission
4. Mini-Lab B: Sentiment + Error Slices
71m
4. M4 — Fine-Tuning Discipline + Defense
Video lesson
1. Fine-Tuning Discipline (Freeze Schedules, LR, Leakage, Eval)
9m
Reading
2. TF Conceptual Parity Note (Keras Map of L1-L5, No TF Lab)
3m
Assignment
3. Quiz: DL Exit (25Q/45 min/pass-75, core 100%)
13m
Project submission
4. DL Defense: NLP Mini + CV Mini Rebuild of Weaker
71m
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DL Basics — PyTorch MLPs, CNNs, Sequences, Fine-Tuning Discipline
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M1 — Tensors, Autograd + Training Loop
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Quiz: Tensors + Training
Back to M1 — Tensors, Autograd + Training Loop
Quiz: Tensors + Training
10 scenario MCQs. Pass >= 80.
6 minutes
Assignment
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