preface
acknowledgments
about this book
about the author
about the cover illustration
Part 1 Introduction and overview
1 What is transfer learning?
1.1 Overview of representative NLP tasks
1.2 Understanding NLP in the context of AI
Artificial intelligence (AI)
Machine learning
Natural language processing (NLP)
1.3 A brief history of NLP advances
General overview
Recent transfer learning advances
1.4 Transfer learning in computer vision
Pretrained ImageNet models
Fine-tuning pretrained ImageNet models
1.5 Why is NLP transfer learning an exciting topic to study now?
2 Getting started with baselines: Data preprocessing
2.1 Preprocessing email spam classification example data
Loading and visualizing the Enron corpus