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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Computer Vision Projects with PyTorch
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Computer Vision Projects with PyTorch
Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma (Broschiert, Englisch)
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Beschreibung
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 64,19 €
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Technische Daten
Erscheinungsdatum
19.07.2022
Sprache
Englisch
EAN
9781484282724
Herausgeber
APRESS
Sonderedition
Nein
Autor
Akshay Kulkarni, Adarsha Shivananda, Nitin Ranjan Sharma
Seitenanzahl
346
Auflage
1
Einbandart
Broschiert
Buch Untertitel
Design and Develop Production-Grade Models
Schlagwörter
Deep Learning, Computer Vision, Artificial Intelligence, Python, PyTorch, Image Processing, Image Classification, Object detection, Image Analysis
Thema-Inhalt
UYQM - Maschinelles Lernen
UMX - Programmier- und Skriptsprachen, allgemein
UYQ - Künstliche Intelligenz
Höhe
235 mm
Breite
15.5 cm
Hersteller: Apress, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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