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
This course is part of multiple programs.
Instructors: Amanda Wang
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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
Skills you'll gain
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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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Frequently asked questions
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.
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When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.