Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python

Building Computer Vision Applications Using Artificial Neural Networks With Step-by-Step Examples in OpenCV and TensorFlow with Python

Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run...

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Detalles Bibliográficos
Autor principal: Ansari, Shamshad. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
TensorFlow.
Machine learning.
Python (Computer program language).
Open source software.
Computer programming.
Machine Learning.
Python.
Open Source.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630987806719
Tabla de Contenidos:
  • 1. Chapter 1: Prerequisite and Software Installation
  • Chapter 2: Core Concepts of Image and Video Processing
  • Chapter 3: Techniques of Image Processing
  • Chapter 4: Building Artificial Intelligence System for Computer Vision
  • Chapter 5: Artificial Neural Network for Computer Vision
  • Chapter 6: Practical Example 1- Object Detection in Images
  • Chapter 7: Practical Example 2- Object Tracking in Videos
  • Chapter 8: Practical Example 3- Facial Detection
  • Chapter 9: Industrial Application - Realtime Defect Detection in Industrial Manufacturing
  • Chapter 10: Training Machine Learning Model on the Cloud.

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