Understanding and debugging CNNs

Level 3: CNNs for vision

Coming soon

This page is being written. See the full roadmap for the whole syllabus.

What this chapter will cover

• Visualizing filters and feature maps
• saliency maps
• Grad-CAM
• occlusion sensitivity
• shortcut learning
• adversarial examples (FGSM)
• robustness and calibration
• error analysis