Isbn: 9781484285862 - synthetic data for deep learning: generate synthetic data for decision making and applications with python and r (6 Ergebnisse)

Zustand: New. In English.

Paperback. Zustand: Brand New. 239 pages. 10.00x7.01x0.51 inches. In Stock.

Zustand: New.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Data is the indispensable fuel that drives the decision making of everything from governments, to major corporations, to sports teams. Its value is almost beyond measure. But what if that data is either unavailable or problematic to access? That¿s where synthetic data comes in. This book will show you how to generate synthetic data and use it to maximum effect.Synthetic Data for Deep Learning begins by tracing the need for and development of synthetic data before delving into the role it plays in machine learning and computer vision. Yoüll gain insight into how synthetic data can be used to study the benefits of autonomous driving systems and to make accurate predictions about real-world data. Yoüll work through practical examples of synthetic data generation using Python and R, placing its purpose and methods in a real-world context. Generative Adversarial Networks (GANs) are also covered in detail, explaining how they work and their potential applications.After completing this book, yoüll have the knowledge necessary to generate and use synthetic data to enhance your corporate, scientific, or governmental decision making.What You Will LearnCreate synthetic tabular data with R and PythonUnderstand how synthetic data is important for artificial neural networksMaster the benefits and challenges of synthetic dataUnderstand concepts such as domain randomization and domain adaptation related to synthetic data generationWho This Book Is ForThose who want to learn about synthetic data and its applications, especially professionals working in the field of machine learning and computer vision. This book will also be useful for graduate and doctoral students interested in this subject.…

Taschenbuch. Zustand: Neu. Synthetic Data for Deep Learning | Generate Synthetic Data for Decision Making and Applications with Python and R | Necmi Gürsakal (u. a.) | Taschenbuch | xix | Englisch | 2023 | Apress | EAN 9781484285862 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Softcover. Zustand: Gut. Auflage: 1st ed. 239 Seiten Gutes Exemplar, geringe Gebrauchsspuren, Cover/SU berieben/bestoßen, innen alles in Ordnung; Good copy, light signs of previous use, cover/dust jacket shows some rubbing/wear, interior in good condition B230811ah93 ISBN: 9781484285862 Sprache: Englisch Gewicht in Gramm: 472. …