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https://github.com/mathworks-teaching-resources/deep-learning-for-image-processing

Teaching and learning deep learning in the context of digital image processing
https://github.com/mathworks-teaching-resources/deep-learning-for-image-processing

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Teaching and learning deep learning in the context of digital image processing

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# Teaching digital image processing using deep learning with MATLAB®
[![View deep-learning-for-image-processing on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/90496-deep-learning-for-image-processing)
[![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/deep-learning-for-image-processing)

## Introduction

This repository contains two lecture modules for image processing using deep learning techniques:
* Image denoising using deep learning
* Semantic image segmentation using deep learning

It is recommended that these modules are introduced in an (elective) image processing class.

## Content
Each module consists of the following material:
* Lecture slides (.pdf, power point slides provided upon request)
* Homework assignment (MATLAB live script)
* Homework assignment solution (MATLAB live script, provided upon request)
* Detailed homework assignment instructions for students
* Detailed homework assignment instructions for instructors (provided upon request)

The following materials are also provided for further guidance:
* Syllabus
* Instructions on using image labeler
* A guided tour to image processing using deep learning with MATLAB
* Term project ideas for image processing using deep learning (provided upon request)

## Contact
Any questions or comments, requests for the instructor copies should be addressed to [ai-education-contact@group.mathworks.com](mailto:ai-education-contact@group.mathworks.com).