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Machine Learning for Computer Vision

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks:...

By Amanda Wang on Coursera

About This Course

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. You will use MATLAB throughout this course.  MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your computer vision tasks.  You will be provided free access to MATLAB for the course duration to complete your work. To be successful in this specialization, it will help to have some prior image processing experience.  If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.

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Frequently Asked Questions

How much does Machine Learning for Computer Vision cost?

Visit the Machine Learning for Computer Vision course page for current pricing and available discounts.

Who teaches Machine Learning for Computer Vision?

Machine Learning for Computer Vision is taught by Amanda Wang, MathWorks.

What skill level is Machine Learning for Computer Vision for?

This course is designed for advanced learners.

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Students0
DurationSelf-paced
LevelAdvanced
Languageen
PlatformCoursera
InstructorAmanda Wang