Ementorhub

Machine Learning for Computer Vision

This course is part of multiple programs. Learn more

Instructors: Amanda Wang +4 more

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

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

Visualization (Computer Graphics)

Machine Learning

Computer Vision

Image Analysis

Data Validation

Performance Testing

Applied Machine Learning

Matlab

There are 4 modules in this course

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.

Image Classification Using Bag of Features

Evaluating Classification Models

Object Detection with Machine Learning

Explore more from Machine Learning

Deep Learning for Computer Vision

Introduction to Computer Vision

Computer Vision with Embedded Machine Learning

Advanced Deep Learning Techniques for Computer Vision