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.
This course is part of the Mind and Machine Specialization
3,207 already enrolled
Offered By
Mind and Machine SpecializationUniversity of Colorado BoulderAbout this Course
3,016 recent views
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
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
Beginner Level
Approx. 8 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
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
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
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)
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
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
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
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?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.
