About this Course

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Flexible deadlines

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Beginner Level

Approx. 8 hours to complete

English

Subtitles: English

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.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 8 hours to complete

English

Subtitles: English

Offered by

University of Colorado Boulder logo

University of Colorado Boulder

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Introduction

1 hour to complete
1 video (Total 19 min), 1 reading, 1 quiz
1 reading
Vision by Man and Machine10m
1 practice exercise
Vision Overview10m
Week
2

Week 2

2 hours to complete

Edges, Depth, and Objects

2 hours to complete
3 videos (Total 103 min)
3 videos
Depth Perception35m
Object Recognition36m
2 practice exercises
Edges5m
Geons15m
Week
3

Week 3

2 hours to complete

Mental Imagery

2 hours to complete
2 videos (Total 123 min), 1 reading, 1 quiz
2 videos
Mental Imagery and the "Turn Towards Neuroscience"1h
1 reading
Mental Imagery and the Visual System10m
1 practice exercise
Mental Imagery5m
Week
4

Week 4

3 hours to complete

Machine Learning and Neural Networks

3 hours to complete
3 videos (Total 99 min), 1 reading, 1 quiz
3 videos
Multi-Layer Networks25m
Deep Learning for Object Recognition26m
1 reading
M​ind Body World (Sections 4.0 through 4.4)45m
1 practice exercise
Convolution Problem10m

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....
Mind and Machine

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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