MathWorks
Advanced Deep Learning Techniques for Computer Vision
MathWorks

Advanced Deep Learning Techniques for Computer Vision

This course is part of multiple programs.

Mehdi Alemi
Amanda Wang
Matt Rich

Instructors: Mehdi Alemi

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Shareable certificate

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Assessments

7 assignments

Taught in English

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There are 4 modules in this course

Train anomaly detection models. These models do not find specific objects or classes, but instead find unusual regions in images.

What's included

4 videos5 readings2 assignments

Generate synthetic images to use for training models.

What's included

2 videos4 readings2 assignments

Save hours of manual labor by using model-assisted labeling to prepare images for object detection

What's included

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.

What's included

4 videos4 readings1 assignment1 plugin

Instructors

Mehdi Alemi
MathWorks
3 Courses2,291 learners

Offered by

MathWorks

Recommended if you're interested in Machine Learning

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