What Is an Edge Case?
January 31, 2024
Article
This course is part of multiple programs.
Instructors: Mehdi Alemi
Included with
Recommended experience
Beginner level
This course builds on the first two courses of our Deep Learning for Computer Vision specialization. We recommend taking the courses in order.
Recommended experience
Beginner level
This course builds on the first two courses of our Deep Learning for Computer Vision specialization. We recommend taking the courses in order.
Train and calibrate specialized models known as anomaly detectors
Generate synthetic training images for situations where acquiring more data is expensive or impossible
Use AI-assisted auto-labeling to save time and money
Import models from 3rd party tools like PyTorch and export your model outside of MATLAB
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7 assignments
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Visual inspection and medical imaging are two applications that aim to find anything unusual in images. In this course, you’ll train and calibrate specialized models known as anomaly detectors to identify defects. You’ll also use advanced techniques to overcome common data challenges with deep learning. AI-assisted labeling is a technique to auto-label images, saving time and money when you have tens of thousands of images. If you have too few images, you’ll generate synthetic training images using data augmentation for situations where acquiring more data is expensive or impossible.
By the end of this course, you will be able to: • Train anomaly detection models • Generate synthetic training images using data augmentation • Use AI-assisted annotation to label images and video files • Import models from 3rd party tools like PyTorch • Describe approaches to using your model outside of MATLAB For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts.
Train anomaly detection models. These models do not find specific objects or classes, but instead find unusual regions in images.
4 videos5 readings2 assignments
Generate synthetic images to use for training models.
2 videos4 readings2 assignments
Save hours of manual labor by using model-assisted labeling to prepare images for object detection
1 video3 readings2 assignments
Learn how to diagnose problems when training models for your applications. Also, learn the options available to share and use your model outside of MATLAB.
4 videos4 readings1 assignment1 plugin
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Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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