This course is part of the Mind and Machine Specialization

4.4
stars
56 ratings
•
12 reviews

David Quigley

3,543 already enrolled

Offered By

Mind and Machine SpecializationUniversity of Colorado Boulder

About this Course

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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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Course 3 of 4 in the

Mind and Machine Specialization

Beginner Level

Approx. 8 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

What you will 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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Mind and Machine Specialization

Beginner Level

Approx. 8 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Instructor

Instructor rating

4.58/5 (12 Ratings)

David Quigley

Offered by

University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

Syllabus - What you will learn from this course

Week

Week 1

1 hour to complete

Introduction

This week we will explore some basic assumptions of a simple model of human vision.

1 hour to complete

1 video (Total 19 min), 1 reading, 1 quiz

Week

Week 2

3 hours to complete

Edges, Depth, and Objects

This week we will explore models of higher-order tasks solved by the visual system.

3 hours to complete

3 videos (Total 103 min)

Week

Week 3

2 hours to complete

Mental Imagery

This week we will compare and contrast different perspectives of how mental imagery relates to the visual system.

2 hours to complete

2 videos (Total 123 min), 1 reading, 1 quiz

Week

Week 4

3 hours to complete

Machine Learning and Neural Networks

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.

3 hours to complete

3 videos (Total 99 min), 1 reading, 1 quiz

Reviews

4.4

12 reviews

5 stars
57.14%
4 stars
30.35%
3 stars
10.71%
1 star
1.78%

TOP REVIEWS FROM COMPUTATIONAL VISION

by DHMar 14, 2021

Very nice course but needs to include more instructiveness with lots of examples.

by AMMay 29, 2021

Good understanding of mechanism of computer vision through deep learning

View all reviews

About the Mind and Machine Specialization

This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Computational Vision