Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch. The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you through the implementation of image classification problems, object detection techniques, and transfer learning while training and running inference. The book covers image segmentation and an anomaly detection model. And it discusses the fundamentals of video processing for computer vision tasks putting images into videos. The book concludes with an explanation of the complete model building process for deep learning frameworks using optimized techniques with highlights on model AI explainability. After reading this book, you will be able to build your own computer vision projects using transfer learning and PyTorch. What You Will Learn Solve problems in computer vision with PyTorch. Implement transfer learning and perform image classification, object detection, image segmentation, and other computer vision applications Design and develop production-grade computer vision projects for real-world industry problems Interpret computer vision models and solve business problems Who This Book Is For Data scientists and machine learning engineers interested in building computer vision projects and solving business problems.

Computer vision. --- Pattern recognition systems. --- Machine learning. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Learning, Machine --- Artificial intelligence --- Machine theory --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book underscores AI's transformative impact on reshaping physical, digital, and biological boundaries, converging with technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing--termed Web 3.0 Industrial Revolution.

Metaverse. --- Industry 5.0. --- Web 2.0.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

Artificial intelligence --- Medicine --- Biology --- Medical profession. --- Medical applications. --- Research --- Data processing. --- Life sciences --- Life (Biology) --- Natural history --- Health Workforce --- Data processing --- Dynamics. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)