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Introduction to Deep Learning for Computer Vision
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Introduction to Deep Learning for Computer Vision

This course is part of MathWorks Computer Vision Engineer Professional Certificate.

Course Cost

Free course

Beginner

Skill Level

6 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Deep Learning for Computer Vision Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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What you'll learn

  • Develop strong foundations in deep learning for image analysis

  • Retrain common models like GoogLeNet and ResNet

  • Investigate and optimize model behavior

  • Implement complete deep learning workflows

Skills you'll gain

Deep Learning
Computer Vision
Neural Networks
Image Classification
Transfer Learning
Model Optimization
MATLAB
CNN
GoogLeNet
ResNet

This course includes:

1.2 Hours PreRecorded video

9 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

Starting with zero deep learning knowledge, this foundational course guides students through training cutting-edge models for image classification. The curriculum covers CNN fundamentals, transfer learning with pre-trained models like GoogLeNet and ResNet, and model optimization techniques. Through hands-on projects involving traffic sign classification and American Sign Language recognition, students develop practical skills in implementing the complete deep learning workflow.

Introduction to Deep Learning with Images

Module 1 · 3 Hours to complete

Transfer Learning

Module 2 · 2 Hours to complete

Investigating Network Behavior

Module 3 · 1 Hours to complete

Final Project: Classifying the ASL Alphabet

Module 4 · 2 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: MathWorks Computer Vision Engineer Professional Certificate

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Introduction to Deep Learning for Computer Vision

Beginner

Skill Level

6 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.