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 Morera is driven by one passion: taking on the challenge of understanding complex topics and sharing that knowledge with others. He’s currently focused on the transformative fields of AI, machine learning, generative AI, search, and big data. As an entrepreneur, project manager, technical author, and trainer, Xavier brings a diverse set of skills and deep expertise to every project he takes on. He holds multiple certifications with Cloudera, Microsoft, and the Scrum Alliance and has been... more