Name: Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications With Python and r (en Inglés)
Price: 222621.00 COP
Availability: InStock
Author: Gã Â¼Rsakal Necmi" "Ã Â Elik Sadullah" "Biriã Â Ã Â§I Esma"
ISBN: 9781484285862

portada Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications With Python and r (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Gã Â¼Rsakal Necmi" "Ã Â Elik Sadullah" "Biriã Â Ã Â§I Esma"

Idioma

Inglés

N° páginas

220

Encuadernación

Tapa Blanda

ISBN13

9781484285862

N° edición

Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications With Python and r (en Inglés)

Gã Â¼Rsakal Necmi" "Ã Â Elik Sadullah" "Biriã Â Ã Â§I Esma" (Autor) · Apress · Tapa Blanda

Libro Físico

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$ 371.036

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Reseña del libro "Synthetic Data for Deep Learning: Generate Synthetic Data for Decision Making and Applications With Python and r (en Inglés)"

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. You'll 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. You'll 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, you'll 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.