Hands-On Transfer Learning with Python

Preface

With the world moving towards digitization and automation, as a technologist/programmer it is important to keep oneself updated and learn how to leverage these tools and techniques. This book, Hands-On Transfer Learning with Python, is an attempt to help practitioners get acquainted with and equipped to use these advancements in their respective domains. This book is structured broadly into three sections:

• Deep learning foundations
• Essentials of transfer learning
• Transfer learning case studies

Transfer learning is a machine learning (ML) technique where knowledge gained during the training of one set of ML problems can be used to train other similar types of problems.

The purpose of this book is two-fold. We will focus on detailed ...