£135.59

Graph Convolutional Neural Networks for Computer Vision - Wiley

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Description

Expand your knowledge of artificial intelligence with Graph Convolutional Neural Networks for Computer Vision. Published by Wiley-Scrivener, this technical book provides a specialized look into the intersection of graph-based learning and visual data processing. Designed for professionals and students in the fields of computer science and machine learning, this resource covers the fundamental concepts needed to understand how graph convolutional networks operate within computer vision frameworks. As AI and machine learning continue to evolve, understanding these complex architectures becomes a priority for researchers and developers working on advanced image analysis and pattern recognition tasks. This publication serves as a dedicated study tool for those looking to deepen their expertise in AI-driven vision systems. Whether you are studying for academic purposes or applying these concepts to real-world machine learning projects, this book offers a focused perspective on one of the most modern areas of computing and internet technology.

Key Features

Technical deep dive into graph convolutional neural networks and their specific applications within the computer vision domain.

Published by Wiley-Scrivener to ensure high-quality academic and professional standards for machine learning researchers.

Targeted content for computer science professionals focusing on the latest developments in artificial intelligence and deep learning.

Structured for learners in the AI and machine learning categories seeking to master complex neural network architectures.

Ideal for academic settings and independent study regarding advanced computing and internet technologies.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
10 December 2025
Listed Since
23 January 2025

Barcode

No barcode data available

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