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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Synthetic Data for Deep Learning
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Synthetic Data for Deep Learning
Necmi Gürsakal, Sadullah Çelik, Esma Birişçi (Broschiert, Englisch)
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Beschreibung
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 Learn Create synthetic tabular data with R and Python Understand how synthetic data is important for artificial neural networks Master the benefits and challenges of synthetic data Understand concepts such as domain randomization and domain adaptation related to synthetic data generation Who This Book Is For Those 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. 58,84 €
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Technische Daten
Erscheinungsdatum
02.01.2023
Sprache
Englisch
EAN
9781484285862
Herausgeber
APRESS
Sonderedition
Nein
Autor
Necmi Gürsakal, Sadullah Çelik, Esma Birişçi
Seitenanzahl
220
Auflage
1
Einbandart
Broschiert
Buch Untertitel
Generate Synthetic Data for Decision Making and Applications with Python and R
Schlagwörter
Deep Learning, Artificial Intelligence, Python, R, Synthetic Data, Neural Networks, Generative Adversarial Networks, Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
Höhe
254 mm
Breite
17.8 cm
Transparenz & Sicherheit
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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