Deep learning on Windows : building deep learning computer vision systems on Microsoft Windows /

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Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Amaratunga, Thimira
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress, 2021.
Temas:
Machine learning.
Computer vision.
Microsoft software.
Apprentissage automatique.
Vision par ordinateur.
Logiciels Microsoft.
Machine learning
Computer vision
Microsoft software
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: What is Deep Learning
  • Chapter 2: Where to Start Your Deep Learning
  • Chapter 3: Setting Up Your Tools
  • Chapter 4: Building Your First Deep Learning Model
  • Chapter 5: Understanding What We Built
  • Chapter 6: Visualizing Models
  • Chapter 7: Transfer Learning
  • Chapter 8: Starting, Stopping and Resuming Learning
  • Chapter 9: Deploying Your Model as a Web Application
  • Chapter 10: Having Fun with Computer Vision
  • Chapter 11: Introduction to Generative Adversarial Networks
  • Chapter 12: Basics of Reinforcement Learning
  • Appendix 1: A History Lesson
  • Milestones of Deep Learning
  • Appendix 2: Optional Setup Steps.

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