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Object Detection Recognition and Tracking

by Xavier Morera

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.

About the author

Xavier is very passionate about teaching, helping others understand AI, 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. Throughout multiple projects, he has acquired skills to deal with complex enterprise software solutions, working with c... more

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