This book presents a collection of extended papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023) and focuses on deep learning architectures and their applications in domains such as healt...Loe edasi...
Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Loe edasi...
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Loe edasi...
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep lea...Loe edasi...
The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describ...Loe edasi...
Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. It provides a detailed explanation of classic con...Loe edasi...
In recent years, deep learning has shown great potential in transforming various fields, including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process...Loe edasi...
This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling. This book focuses on deep learning (DL), which is an important aspect of data science, that includes predicti...Loe edasi...
Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into various use cases where deep learning is a...Loe edasi...
This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. Deep learning is integrated with computer vi...Loe edasi...
Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus...Loe edasi...
Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative appl...Loe edasi...
Yue Song, Thomas Anderson Keller, Nicu Sebe, Max Welling
Sari: Synthesis Lectures on Computer Vision
(Ilmumisaeg: 19-May-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031881107)
This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of incorporating knowledge of data symmetries...Loe edasi...
Sen Lin, Zhi Zhou, Zhaofeng Zhang, Xu Chen, Junshan Zhang
Sari: Synthesis Lectures on Learning, Networks, and Algorithms
(Ilmumisaeg: 11-May-2025, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031845628)
This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of th...Loe edasi...
