Diagnostics, Interpretability, Robustness, and Responsible Use

prevent learners from trusting neural networks too quickly.

Units

1. Unit 11.00: 11.00 Learning curves, confusion matrices, and error slices
2. Unit 11.01: 11.01 Calibration and confidence caution
3. Unit 11.02: 11.02 Saliency and attribution as clues, not proof
4. Unit 11.03: 11.03 Robustness, distribution shift, and out-of-distribution inputs
5. Unit 11.04: 11.04 Fairness and dataset limitations
6. Unit 11.05: 11.05 Model cards and responsible release boundaries
7. Unit 11.06: 11.06 Project step: deep learning review memo

Module work

• Activity
• Knowledge check
• Summary