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XAI for Computer Vision
What I will learn?
- Note: course is still under development. If you purchase it now, you will get all the benefits in the future.
Course Curriculum
Introduction
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The importance of XAI in CV
04:45 -
Taxonomy
11:27 -
Evaluation
25:24 -
Axioms
18:39 -
Limitations
11:52
Permutation-based
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Permutation Channel Importance
09:13 -
Permutation Channel Importance (Python)
19:13 -
Occlusion
06:51 -
Occlusion (Python)
14:20 -
LIME
11:53 -
LIME (Python)
14:27 -
KernelSHAP (coming soon)
00:00
Gradient-based methods
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Vanilla Gradients
13:04 -
Input X Gradients
08:25 -
Guided Backpropagation
10:23 -
Guided Backpropagation (Python)
28:00 -
Grad-CAM
12:38 -
Grad-CAM (Python)
17:12 -
Guided Grad-CAM
11:54 -
SmoothGrad
13:40 -
DeepLift
14:51 -
DeepLift (Python)
12:27 -
Integrated Gradients
15:37
Interpretability by Construction
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Class Activation Maps
09:13 -
Class Activation Maps (Python)
09:33 -
Prototype Layers (Coming soon)
00:00
Student Ratings & Reviews
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$99.00
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LevelIntermediate
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Total Enrolled2
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Last UpdatedMarch 21, 2026
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