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Neural Nets for NLP - Debugging Neural Nets
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- 1 Intro
- 2 In Neural Networks, Tuning is Paramount!
- 3 A Typical Situation
- 4 Possible Causes
- 5 Identifying Training Time Problems
- 6 Is My Model Too Weak? . Your model needs to be big enough to learn
- 7 Be Careful of Deep Models
- 8 Initialization
- 9 Bucketing/Sorting
- 10 Debugging Minibatching
- 11 Debugging Decoding
- 12 Debugging Search
- 13 Look At Your Data!
- 14 Quantitative Analysis
- 15 Example: compare-mt
- 16 Reminder: Early Stopping
- 17 Loss Function, Evaluation Metric
- 18 Symptoms of Overfitting
