contents

 

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

General overview

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