Skip to content
MathWorks

Self-Paced Online Courses

  • Self-Paced Content
  • MathWorks
  • MATLAB Help Center
  • Community
  • Learning
  • Get MATLAB MATLAB
  • Sign In
    • My Account
    • My Community Profile
    • Link License
    • Sign Out
  • Contact MathWorks Support
  • Visit mathworks.com
  • Online Courses
MathWorks MathWorks

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • (English)
  • (Deutsch)
  • (Français)
  • （简体中文）
  • (English)

You can also select a web site from the following list

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文
    • English
  • 日本 (日本語)
  • 한국 (한국어)

Contact your local office

image for course Regression with Deep Learning

Regression with Deep Learning

Build upon your deep learning classification skills by learning to create deep networks that can perform regression, which predicts continuous numeric responses. Learn how to adjust your training inputs and how to evaluate your regression networks.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Outline and Learning Outcomes

Prepare Training Inputs

Store data labels and prepare a network architecture for applications with a numeric response.

Lessons:
  • View Regression Data Set
  • Regression Network Architecture
  • Create Regression Network from Scratch
  • Modify a Pretrained Network for Regression

Train a Regression Network

Perform training for a regression network.

Lessons:
  • Regression Loss Functions
  • Train a Regression Network

Evaluate a Regression Network

Use a trained network where the output is a numeric response to make predictions and evaluate the results.

Lessons:
  • Use Color Corrector
  • Evaluate Color Corrector

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Deep Learning Onramp

Get started quickly using deep learning methods to perform image recognition.

  • Trust Center
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status
  • Contact Us

© 1994-2025 The MathWorks, Inc.