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