Deep Learning

The Handbook of Statistics series, Deep Learning, Volume 48, covers new developments in the field, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.

Format: Hardback
Length: 270 pages
Publication date: 02 March 2023
Publisher: Elsevier Science Publishing Co Inc

Deep Learning,Volume 48 in the Handbook of Statistics series, presents exciting new developments in the field. This latest volume features captivating chapters on a diverse range of timely topics, such as Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and much more.

The book is a valuable resource for researchers, practitioners, and students interested in the latest advancements in Deep Learning and its applications across various domains. It covers a wide range of topics, including neural networks, machine learning algorithms, and data analysis techniques, providing a comprehensive overview of the field.

Each chapter in the book is written by experts in their respective fields, ensuring that the content is both authoritative and up-to-date. The chapters are organized in a logical and coherent manner, making it easy for readers to navigate and gain insights from the material.

In addition to the technical content, the book also includes case studies and real-world examples that demonstrate the practical applications of Deep Learning in various industries. These examples help readers to understand how Deep Learning can be used to solve real-world problems and improve efficiency and productivity.

Overall, Deep Learning,Volume 48 in the Handbook of Statistics series, is a must-read for anyone interested in the latest developments in the field of Deep Learning. It provides a comprehensive and up-to-date overview of the latest research and applications, making it an invaluable resource for researchers, practitioners, and students alike.

Weight: 1000g
Dimension: 229 x 152 (mm)
ISBN-13: 9780443184307