Object Detection Recognition and Tracking
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection recognition and tracking using Tensorflow.
What you'll learn
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.
Table of contents
- Using Neural Networks for Image Classification - Featuring Tensorflow 5m
- Using Neural Networks for Image Classification 7m
- Feature Extraction from Images 2m
- Building an Image Classification Model with Tensorflow 6m
- Evaluating a Tensorflow Image Classification Model 5m
- Classifying with a Multilayer Perceptron 2m
- Other Notable Architectures and Libraries 2m
About the author
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