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Classroom Contents
Neural Nets for NLP - Debugging Neural Nets
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- 1 Introduction
- 2 Problems with Neural Networks
- 3 Key to Debugging
- 4 Problem
- 5 Possible Causes
- 6 Debugging Training Time
- 7 Model Size
- 8 Residual Connections Highway Networks
- 9 Optimization
- 10 Optimizers
- 11 Learning Rate
- 12 Initialization
- 13 Mini Batching
- 14 Sorting
- 15 Learning Rate Decay
- 16 Other Questions
- 17 Test Time Performance
- 18 Minibatch Bugs
- 19 Unit Testing
- 20 Beam Search
- 21 Output Generation
- 22 Quantitative Analysis
- 23 Compare Empty Toolkit
- 24 Battling Overfitting
- 25 Memory
