{
"item_title" : "Computer Vision",
"item_author" : [" Gilbert Gutiérrez "],
"item_description" : "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!",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/830/999/9798309995097_b.jpg",
"price_data" : {
"retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Computer Vision : Teaching AI to See the World
Overview
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 Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9798309995097
- ISBN-10: 9798309995097
- Publisher: Independently Published
- Publish Date: February 2025
- Dimensions: 11 x 8.5 x 0.68 inches
- Shipping Weight: 1.66 pounds
- Page Count: 324
Related Categories
