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Classroom Contents
Explainable AI - Methods, Applications & Recent Developments
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- 1 Intro
- 2 Explaining Predictions
- 3 Explanation Methods
- 4 Perturbation
- 5 Layer-wise Relevance Propagation
- 6 Approach 2: (Simple) Taylor Expansions
- 7 Simple Taylor Decomposition
- 8 Deep Taylor Decomposition
- 9 Best Practice for LRP
- 10 Evaluating Explanations
- 11 LRP Applied to Different Problems
- 12 Understanding Prediction Strategies
- 13 Understanding the Model
- 14 Understanding the Data
- 15 Meta-Explanations
- 16 Spectral Relevance Analysis (Spray)
- 17 Summary
