Computer Vision co-created with Affectiva and Nvidia
Skills Covered: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Simultaneous Localization and Mapping (SLAM), Object Tracking, Image Classification, Deep Learning, Computer Vision, Object Tracking, Object Localization
ABOUT THIS NANODEGREE
Computer Vision is considered to be the future of new technologies. This is why you definitely need a broad portfolio of applications you have built. Completing the Computer Vision is a great option for those who want to learn how to write a code that performs both facial recognition and scene-understanding to object tracking. The course covers all the latest techniques in Computer Vision.
Among the others, you will learn multi-object recognition models, as well as deep learning architectures (R-CNN and YOLO – you will learn how to combine the networks to create an automatic image captioning app). The Computer Vision Experts will show you how to implement object tracking methods (like Simultaneous Localization and Mapping). The techniques you’ll learn are used e.g. in self-driving car navigation and drone flight.
The course takes around 3 months to complete. To enroll, you need some experience with Python, statistics, machine learning, and deep learning.
Employer demand for AI (Artificial Intelligence) – related roles has more than doubled over the past three years.
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