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Introduction
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Classroom Contents
Advanced NLP: Interpreting and Debugging NLP Models
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- 1 Introduction
- 2 Tools
- 3 Debugging
- 4 Training Time Problems
- 5 Optimization Problems
- 6 Mini Batch Loss Calculation
- 7 Structure Generation
- 8 Beam Size
- 9 Code Level
- 10 Early stopping
- 11 Understanding the outputs
- 12 Measuring accuracy
- 13 Interpretation of predictions
- 14 Saliency map
- 15 Gradient Norm
- 16 Attention
