MathWorks - Machine Learning for Computer Vision
- Offered byCoursera
Machine Learning for Computer Vision at Coursera Overview
Duration | 12 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning for Computer Vision at Coursera Highlights
- Earn a Certificate upon completion
Machine Learning for Computer Vision at Coursera Course details
- 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 be provided free access to MATLAB for the course duration to complete your work
Machine Learning for Computer Vision at Coursera Curriculum
Image Classification with Machine Learning
Computer Vision for Engineering and Science
Introduction to Machine Learning for Computer Vision
The Machine Learning Workflow
Introduction to Classification Models
Preparing Your Images for Classification
Training Image Classification Models
Meet Your Instructors
Course files and MATLAB
Glossary of Common Terms
Preparing the Concrete Images for Classification
Optimizing Model Hyperparameters
The Upcoming Assessments
Concept Check: Introduction to Machine Learning
Concept Check: Introduction to Classification
Graded Quiz: Preparing Images for Classification
Graded Quiz: Classifying Images
Image Classification Using Bag of Features
Introduction to Bag of Features
Classifying Images With Bag of Features
Practice Using Bag of Features
Project: Introduction to Ground Cover Classification
Concept Check: Introduction to Bag of Features
Practice Quiz: Practice Using Bag of Features
Graded Quiz: Bag of Features
Evaluating Classification Models
Evaluating Classification Models
Evaluating Classification Models in MATLAB
Common Issues in Image Classification
Common Issues in Image Classification: A Reference
Project Introduction: Classifying Traffic Signs
Concept Check: Evaluating Classification Models
Project: Classifying Traffic Sign Images
Object Detection with Machine Learning
Object Detection with Machine Learning
Labeling your Images for Machine Learning
Introduction to the Object Detection Project
Object Detection in MATLAB
Beginning the Wood Knots Detection Project
Extra Credit: Removing Redundant Detections
Project: Wood Knots Detection Step 1
Project: Wood Knots Detection Step 2
Project: Wood Knots Detection Step 3
Machine Learning for Computer Vision at Coursera Admission Process
Important Dates
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