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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kulkarni, Akshay (Autor), Shivananda, Adarsha (Autor), Sharma, Nitin Ranjan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Apress, [2022]
Temas:
Computer vision.
Pattern recognition systems.
Machine learning.
Vision par ordinateur.
Reconnaissance des formes (Informatique)
Apprentissage automatique.
Computer vision
Machine learning
Pattern recognition systems
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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