contents

 

  

Front matter

foreword

preface

acknowledgments

about this book

about the authors

about the cover illustration

  

  1 An introduction to deep learning systems

  1.1   The deep learning development cycle

Phases in the deep learning product development cycle

Roles in the development cycle

Deep learning development cycle walk-through

Scaling project development

  1.2   Deep learning system design overview

Reference system architecture

Key components

Key user scenarios

Derive your own design

Building components on top of Kubernetes

  1.3   Building a deep learning system vs. developing a model

  2 Dataset management service

Data ingestion API