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...Lasīt vairāk
This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Insti...Lasīt vairāk
Neural networks are at the heart of AIso ensure youre on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts youll need to understand and create neural networks. Or jump right into pr...Lasīt vairāk
This book aims to provide an overview of the fundamental concepts, principles, and applications of neural network technologies and brain-computer interfaces. By converging artificial intelligence, neuroscience, and engineering, these innovations hav...Lasīt vairāk
Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resou...Lasīt vairāk
This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023). The book discusses novel technolo...Lasīt vairāk
A hands-on guide to powerful graph-based deep learning models! Learn how to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more.Graph Neural Networks in Action teaches you to create...Lasīt vairāk
This book explores the stability analysis of neural networks and evolving intelligent systems, focusing on their ability to adapt to changing environments. It differentiates between neural networks, which have a static structure and...Lasīt vairāk
Turchetti (Universita Politecnica delle Marche) investigates the properties of neural networks as sources of random functions, and whether approximating properties similar to those valid for deterministic functions hold for random functions. After in...Lasīt vairāk
The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercis...Lasīt vairāk
This book provides readers with a comprehensive understanding of Generative Adversarial Networks (GANs) and empower them to effectively utilize GANs for image generation purposes, from basic principles to advanced techniques--...Lasīt vairāk
This book presents the proceedings of the NeuroIS Retreat 2024, June 9 - 11, Vienna, Austria, reporting on topics at the intersection of information systems (IS) research, neurophysiology and the brain sciences. Readers will discover the latest findi...Lasīt vairāk
This book presents advanced AI approaches and their practical applications in traffic and energy systems, expanding the limits of existing research and practice. It showcases the potential of neural networks and graph models to greatly improve the e...Lasīt vairāk
Deep learning has achieved impressive results in image classification, computer vision and natural language processing. To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resour...Lasīt vairāk
