Practical computer vision applications (50 Ergebnisse)

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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.…

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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.…

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Paperback or Softback. Zustand: New. Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI. Book.

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Taschenbuch. Zustand: Neu. Neuware.

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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. …

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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.

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

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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.…

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