MathWorks
Introduction to Deep Learning for Computer Vision
MathWorks

Introduction to Deep Learning for Computer Vision

This course is part of multiple programs.

Mehdi Alemi
Amanda Wang
Matt Rich

Instructors: Mehdi Alemi

1,960 already enrolled

Included withCoursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop a strong foundation in deep learning for image analysis

  • Retrain common models like GoogLeNet and ResNet for specific applications

  • Investigate model behavior to identify errors, determine potential fixes, and improve model performance

  • Complete a real-world project to practice the entire deep learning workflow

Details to know

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Assessments

9 assignments

Taught in English

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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

Learn the key components of convolutional neural networks and train a simple classification model

What's included

5 videos7 readings2 assignments1 discussion prompt

Retraining networks with new data is the most common way to apply deep learning in industry. In this module, you'll retrain common networks, set appropriate values for training options, and compare results from different models.

What's included

4 videos6 readings3 assignments

Explaining how models make predictions is increasingly important. In this module, you'll use confidence scores and visualizations to determine what regions of an image the model is using to make predictions. You'll also identify common errors and adjust training options to improve performance.

What's included

2 videos2 readings1 assignment

Apply your new skills to a final project.

What's included

2 videos2 readings3 assignments1 plugin

Instructors

Mehdi Alemi
MathWorks
3 Courses2,510 learners

Offered by

MathWorks

Recommended if you're interested in Machine Learning

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