Computer vision using deep learning : neural network architectures with Python and Keras /

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into foc...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Verdhan, Vaibhav (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, Calif.] : Apress, [2021]
Temas:
Computer vision.
Pattern recognition systems.
Pattern Recognition, Automated
Vision par ordinateur.
Reconnaissance des formes (Informatique)
Computer vision
Pattern recognition systems
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1 Introduction to Computer Vision and Deep Learning
  • Chapter 2 Nuts and Bolts of Deep Learning for Computer Vision
  • Chapter 3 Image Classification using LeNet
  • Chapter 4 VGGNet and AlexNext Networks
  • Chapter 5 Object Detection Using Deep Learning
  • Chapter 6 Facial Recognition and Gesture Recognition
  • Chapter 7 Video Analytics Using Deep Learning
  • Chapter 8 End-to-end Model Development
  • Appendix.

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