Computer vision is revolutionizing industries, enabling machines to interpret and understand images and videos like humans. From facial recognition and self-driving cars to healthcare diagnostics and augmented reality, AI-powered vision systems are shaping the future. But how do these systems work? How can you build your own?
Computer Vision: Teaching AI to See the World is the ninth book in the highly acclaimed AI from Scratch series. Designed for beginners and experienced developers alike, this book provides a step-by-step guide to mastering computer vision, combining fundamental concepts with hands-on implementation using Python, OpenCV, TensorFlow, and PyTorch.
What You'll Learn:
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Paperback. Etat : new. Paperback. Computer vision is revolutionizing industries, enabling machines to interpret and understand images and videos like humans. From facial recognition and self-driving cars to healthcare diagnostics and augmented reality, AI-powered vision systems are shaping the future. But how do these systems work? How can you build your own? Computer Vision: Teaching AI to See the World is the ninth book in the highly acclaimed AI from Scratch series. Designed for beginners and experienced developers alike, this book provides a step-by-step guide to mastering computer vision, combining fundamental concepts with hands-on implementation using Python, OpenCV, TensorFlow, and PyTorch. What You'll Learn: Foundations of Computer Vision - Understand image processing, pixel manipulation, and edge detection.Feature Detection & Classical Techniques - Learn SIFT, HOG, and Viola-Jones for object recognition.Deep Learning for Vision - Build CNNs, YOLO, and U-Net for object detection and image segmentation.Generative AI & Vision Transformers - Explore GANs for image synthesis and ViTs for state-of-the-art AI vision.Real-World Applications - Implement AI-powered security, facial recognition, and medical imaging solutions.Ethical AI & Future Trends - Understand AI bias, privacy challenges, and the future of computer vision.This comprehensive yet beginner-friendly book balances theory with real-world projects, helping you develop AI vision systems from scratch and deploy them effectively. Who Is This Book For?AI Enthusiasts & Beginners - No prior experience needed! Learn computer vision step by step.Developers & Data Scientists - Implement vision models using open-source AI tools.Students & Educators - A structured and practical guide to teaching and learning AI vision.Researchers & Engineers - Stay updated with cutting-edge deep learning and vision models.If you're looking to master computer vision, build real-world AI applications, and stay ahead in AI-driven technology, this book is your ultimate guide. Start your journey into the world of AI vision today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798309995097
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Etat : New. N° de réf. du vendeur 49880453-n
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 49880453
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Computer vision is revolutionizing industries, enabling machines to interpret and understand images and videos like humans. From facial recognition and self-driving cars to healthcare diagnostics and augmented reality, AI-powered vision systems are shaping the future. But how do these systems work? How can you build your own? Computer Vision: Teaching AI to See the World is the ninth book in the highly acclaimed AI from Scratch series. Designed for beginners and experienced developers alike, this book provides a step-by-step guide to mastering computer vision, combining fundamental concepts with hands-on implementation using Python, OpenCV, TensorFlow, and PyTorch. What You'll Learn: Foundations of Computer Vision - Understand image processing, pixel manipulation, and edge detection.Feature Detection & Classical Techniques - Learn SIFT, HOG, and Viola-Jones for object recognition.Deep Learning for Vision - Build CNNs, YOLO, and U-Net for object detection and image segmentation.Generative AI & Vision Transformers - Explore GANs for image synthesis and ViTs for state-of-the-art AI vision.Real-World Applications - Implement AI-powered security, facial recognition, and medical imaging solutions.Ethical AI & Future Trends - Understand AI bias, privacy challenges, and the future of computer vision.This comprehensive yet beginner-friendly book balances theory with real-world projects, helping you develop AI vision systems from scratch and deploy them effectively. Who Is This Book For?AI Enthusiasts & Beginners - No prior experience needed! Learn computer vision step by step.Developers & Data Scientists - Implement vision models using open-source AI tools.Students & Educators - A structured and practical guide to teaching and learning AI vision.Researchers & Engineers - Stay updated with cutting-edge deep learning and vision models.If you're looking to master computer vision, build real-world AI applications, and stay ahead in AI-driven technology, this book is your ultimate guide. Start your journey into the world of AI vision today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798309995097
Quantité disponible : 1 disponible(s)