Computer vision applications can automate and enhance the analysis and interpretation of visual data (images/videos) beyond human capabilities. In this course, Object Detection Recognition and Tracking, you’ll learn to create an image classifier using Tensorflow. First, you’ll explore how neural networks are used for image classification. Next, you’ll learn how to create an image classifier with different levels of accuracy. Finally, you’ll learn about three different types of neural networks. When you’re finished with this course, you’ll have the skills and knowledge of computer vision for object detection recognition and tracking needed to create an image classifier.
Author Name: Xavier Morera
Author Description:
Xavier has a two passions. He loves the challenge of learning about complex topics and then sharing this newfound knowledge with others. The topics he is currently focused on are AI, ML, Generative AI, Search and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with having been awarted Microsoft MVP. He has spent a great deal of his career working on cutting-edge projects…. more

Table of Contents

• Course Overview
  1min
• Understanding How Neural Networks are Used for Image Classification
  28mins
• Understanding Advanced Neural Networks for Image Classification: ResNet, Inception, and MobileNets
  10mins