AI and ML Techniques in Image Processing by Sandeep Chand Kumain(.PDF)
File Size: 11.8 MB
AI and ML Techniques in Image Processing and Object Detection by Sandeep Chand Kumain, Maheep Singh, Lalit Kumar Awasthi, Raj Singh
Requirements: .PDF reader, 11.8 MB
Overview: This book highlights the evolution and interdisciplinary approach of Artificial Intelligence (AI) and Machine Learning (ML) in image processing, tracing historical development and exploring their convergence with different fields. It delves into optimizing neural architectures and making Deep Learning models interpretable while exploring recent trends like versatile CNN applications and edge computing deployment. The intersection of AI and creativity, dynamic transfer learning, and domain adaptation are discussed alongside object detection techniques and Reinforcement Learning. It examines advanced applications in satellite imagery, healthcare, and smart cities, addressing ethical considerations like bias mitigation and transparency. This book also outlines future trends such as quantum-inspired computing and the evolution of edge AI ecosystems. Deep Learning is an approach that revolutionized how images are analyzed to unprecedented accuracy and how machines can understand and interpret data in visual format. Embarking from this context, chapter introduces the basic principles of Deep Learning, which are related to the applications of image analysis. We shall discuss how DL models, especially CNNs, are designed, trained, and used to extract meaningful information from images.
Genre: Non-Fiction > Tech & Devices
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