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Measuring Variance
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Classroom Contents
Effective Transfer Learning for NLP - Madison May - ODSC East 2018
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- 1 Introduction
- 2 Training Data Requirements
- 3 Representation Learning
- 4 Word Tyvek
- 5 Simple Vector Arithmetic
- 6 Deep Learning
- 7 Deep Learning Problems
- 8 Small Data Problems
- 9 Transfer Learning
- 10 Transfer Learning Diagram
- 11 Practical Recommendations
- 12 Quality of Embedding
- 13 Source Tasks
- 14 Logistic Regression
- 15 Second Order Optimization
- 16 Measuring Variance
- 17 Class Balance
- 18 Feature Engineering
- 19 Enzo
- 20 Workflow
- 21 Visualization
- 22 Documentation
- 23 Machine Learning Research
- 24 Good Papers
- 25 Deep contextualized word representations
- 26 Source model
- 27 Average Representations
- 28 Data Problems
- 29 Questions
