In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects.
Machine Learning for Computer Vision
Machine Learning for Computer Vision
This course is part of multiple programs.
Instructors: Amanda Wang
Sponsored by BrightStar Care
6,085 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(20 reviews)
Beginner level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Prepare data and create features for classifying images
Train & evaluate models to classify images using
Train & evaluate object detection machine learning models
Customize model training for different applications using cost matrices
Details to know
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Assessments
12 assignments
Taught in English
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There are 4 modules in this course
What's included
6 videos6 readings4 assignments
What's included
2 videos2 readings3 assignments1 app item1 discussion prompt
What's included
3 videos2 readings2 assignments
What's included
4 videos4 readings3 assignments
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