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Computer vision projects with PyTorch : design and develop production-grade models /
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 augm...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Kulkarni, Akshay, |e author. | |
| 245 | 1 | 0 | |a Computer vision projects with PyTorch : |b design and develop production-grade models / |c Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma. |
| 264 | 1 | |a New York, NY : |b Apress, |c [2022] | |
| 264 | 4 | |c Ã2022 | |
| 300 | |a 1 online resource (xvi, 346 pages) : |b illustrations | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a 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. | ||
| 505 | 0 | |a Chapter 1: The Building Blocks of Computer Vision -- Chapter 2: Image Classification -- Chapter 3: Building Object Detection Model -- Chapter 4: Building Image Segmentation Model -- Chapter 5: Image-Based Search and Recommendation System -- Chapter 6: Pose Estimation -- Chapter 7: Image Anomaly Detection -- Chapter 8: Image Super-Resolution -- Chapter 9: Video Analytics -- Chapter 10: Explainable AI for Computer Vision. | |
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed August 1, 2022). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 700 | 1 | |a Shivananda, Adarsha, |e author. | |
| 700 | 1 | |a Sharma, Nitin Ranjan, |e author. | |
| 776 | 0 | 8 | |i Print version: |z 1484282728 |z 9781484282724 |w (OCoLC)1311359294 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484282731/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH40491275 | ||
| 938 | |a YBP Library Services |b YANK |n 303034996 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL7046596 | ||
| 938 | |a EBSCOhost |b EBSC |n 3337295 | ||
| 994 | |a 92 |b IZTAP | ||