Practical computer vision applications (29 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

paperback. Zustand: Fine.

XII, 175 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Intelligent Systems Reference Library, 182. Sprache: Englisch.…

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - What if you could build AI systems that see, understand, reason, and interact with the world like never before The era of single-purpose AI is ending. Multimodal intelligence is transforming how machines process information by combining vision, language, audio, and reasoning into unified systems capable of solving complex real-world problems. From intelligent assistants and autonomous agents to advanced image understanding and edge AI applications, multimodal AI is rapidly becoming the foundation of the next generation of software.Multimodal AI Engineering is a practical, hands-on guide designed to help developers, machine learning engineers, data scientists, AI practitioners, and technology professionals build production-ready multimodal systems using modern tools, frameworks, and architectures. Rather than focusing on theory alone, this book takes you through the complete lifecycle of designing, training, fine-tuning, optimizing, deploying, and scaling intelligent AI applications that can process and reason across multiple data modalities.Inside this book, you will learn how to: - Understand the foundations of multimodal intelligence and modern AI architectures- Build powerful vision-language systems using state-of-the-art models- Prepare, structure, and manage datasets for multimodal training- Fine-tune large models efficiently with LoRA and QLoRA techniques- Implement Retrieval-Augmented Generation (RAG) for multimodal applications- Develop intelligent agents capable of reasoning and interacting with external tools- Optimize AI systems for performance, scalability, and cost efficiency- Deploy multimodal workloads using Docker, Kubernetes, and cloud-native infrastructure- Run vision AI models on edge devices and resource-constrained environments- Design secure, reliable, and production-ready AI systemsWhat makes this book different is its strong emphasis on real-world implementation. Every chapter is focused on practical engineering workflows, modern deployment strategies, optimization techniques, and industry-proven best practices used to build scalable AI applications. Instead of stopping at model training, you'll learn how to bridge the gap between research and production, enabling you to create systems that deliver measurable value in real environments.Whether you're developing intelligent business applications, computer vision platforms, AI-powered assistants, robotics solutions, or next-generation multimodal products, this book provides the knowledge, tools, and practical guidance needed to move from experimentation to deployment with confidence.The future of AI belongs to systems that can understand the world through multiple forms of information. Start building those systems today and gain the skills needed to thrive in one of the most exciting and rapidly evolving fields in technology. …

Zustand: New. 2018. 1st ed. Paperback. . . . . .

Zustand: New. In English.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - Learn to build practical computer vision solutions with OpenCV 5 and Python 3, covering image and video processing, object detection and tracking, face recognition, machine learning, 3D vision, augmented reality, and cloud computing.

Paperback. Zustand: Brand New. 405 pages. 9.75x7.00x0.75 inches. In Stock.

Zustand: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Practical Computer Vision Applications Using Deep Learning with CNNs | With Detailed Examples in Python Using TensorFlow and Kivy | Ahmed Fawzy Gad | Taschenbuch | xxii | Englisch | 2018 | Apress | EAN 9781484241660 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Softcover/Taschenbuch. Zustand: Neu. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms. For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). You will implement a CNN in Python to give you a full understanding of the model.After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to a web server using Flask, making it accessible over the Internet. Using Kivy and NumPy, you will create cross-platform data science applications with low overheads.This book will help you apply deep learning and computer vision concepts from scratch, step-by-step from conception to production. What You Will Learn Understand how ANNs and CNNs work Create computer vision applications and CNNs from scratch using PythonFollow a deep learning project from conception to production using TensorFlowUse NumPy with Kivy to build cross-platform data science applicationsWho This Book Is ForData scientists, machine learning and deep learning engineers, software developers. Sprache: Englisch Gewicht in Gramm: 800.…

Softcover/Taschenbuch. Zustand: Neu. This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Sprache: Englisch Gewicht in Gramm: 1367.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis.The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis.The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.…

Taschenbuch. Zustand: Neu. Computer Vision in Control Systems-6 | Advances in Practical Applications | Margarita N. Favorskaya (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xii | Englisch | 2021 | Springer | EAN 9783030391799 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 188 pages. 9.25x6.10x0.45 inches. In Stock.

Hardcover. Zustand: Brand New. 175 pages. 9.25x6.25x0.75 inches. In Stock.

Gebundene Ausgabe. Zustand: Neu. This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis.The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies. Sprache: Englisch Gewicht in Gramm: 401.…