Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- 4 Regression and Model Selection
- 5 Clustering and Classification
- 6 Neural Networks and Deep Learning
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
This chapter is part of a book that is no longer available to purchase from Cambridge Core
6 - Neural Networks and Deep Learning
from Part II - Machine Learning and Data Analysis
Book contents
- Frontmatter
- Contents
- Preface
- Common Optimization Techniques, Equations, Symbols, and Acronyms
- Part I Dimensionality Reduction and Transforms
- Part II Machine Learning and Data Analysis
- 4 Regression and Model Selection
- 5 Clustering and Classification
- 6 Neural Networks and Deep Learning
- Part III Dynamics and Control
- Part IV Reduced Order Models
- Glossary
- Bibliography
- Index
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Data-Driven Science and EngineeringMachine Learning, Dynamical Systems, and Control, pp. 195 - 226Publisher: Cambridge University PressPrint publication year: 2019
- 2
- Cited by