In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.
Computational Vision
Computational Vision
This course is part of Mind and Machine Specialization
Instructor: David Quigley
Sponsored by Coursera Learning Team
5,044 already enrolled
Gain insight into a topic and learn the fundamentals.
4.4
(64 reviews)
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Apply various models of human and machine vision and discuss their limitations.
Demonstrate the geon model of object recognition and its limitations.
Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.
Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Mind and Machine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
This week we will explore some basic assumptions of a simple model of human vision.
What's included
1 video1 reading1 assignment
This week we will explore models of higher-order tasks solved by the visual system.
What's included
3 videos2 assignments3 discussion prompts
This week we will compare and contrast different perspectives of how mental imagery relates to the visual system.
What's included
2 videos1 reading1 assignment
This week we will explore the neuron as an element of the human cognitive system and ways we can implement these pieces into neural network systems of artificial intelligence.
What's included
3 videos1 reading1 assignment
Instructor
Instructor ratings
4.7 (15 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.4
64 reviews
- 5 stars
57.81%
- 4 stars
29.68%
- 3 stars
9.37%
- 2 stars
0%
- 1 star
3.12%
Showing 3 of 64
AM
5
Reviewed on May 30, 2021
Good understanding of mechanism of computer vision through deep learning
DH
5
Reviewed on Mar 15, 2021
Very nice course but needs to include more instructiveness with lots of examples.
Recommended if you're interested in Computer Science
University of Colorado Boulder
Adobe
California Institute of the Arts
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy