Deep Learning for Image Recognition

Erscheinungsjahr 2025
ISBN: 978-0-443-43950-6
Verlag: Elsevier Science

Buch, Englisch, 542 Seiten, Format (B × H): 152 mm x 228 mm, Gewicht: 907 g

Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.

Autoren/Hrsg.

Long, Peng

Song, Yu

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

1. Fundamentals of Neural Networks and Convolutional Neural Networks
2. Fundamentals of Deep Learning Optimization
3. Data Process Methods in Deep Learning
4. Image Classification
5. Object Detection
6. Image Segmentation
7. Model Visualization
8. Model Compression
9. Model Deployment and Launch

Über Autor(innen)

Song, Yu
Dr Yu Song obtained her PhD degree from the National Laboratory of Pattern Recognition at the Institute of Automation, Chinese Academy of Sciences, and a master's degree in automation from Tianjin University; she currently works in the Department of Industrial Design at the College of Mechanical Engineering, University of Science and Technology Beijing. Her research interests include artificial intelligence content generation, aesthetic computation, image collage, image scaling, and machine learning

Long, Peng
Peng Long received the B.S. degree in Electronic science and technology in 2012 from Huazhong University of Science and Technology, and the M.S. degree in electronic circuit and system from university of Chinese Academy of Sciences, in 2015. He is currently CEO of YouSan Educational Technology Co., Ltd., and Most Valuable Professional of Alibaba Cloud and HUAWEI Cloud. He has published five books in China. His current research interests include pattern recognition, computer vision, and image processing