About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 8 hours to complete
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.

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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 8 hours to complete
English

Offered by

Placeholder

University of Colorado Boulder

Syllabus - What you will learn from this course

Week1
Week 1
1 hour to complete

Introduction

1 hour to complete
1 video (Total 19 min), 1 reading, 1 quiz
Week2
Week 2
3 hours to complete

Edges, Depth, and Objects

3 hours to complete
3 videos (Total 103 min)
Week3
Week 3
2 hours to complete

Mental Imagery

2 hours to complete
2 videos (Total 123 min), 1 reading, 1 quiz
Week4
Week 4
3 hours to complete

Machine Learning and Neural Networks

3 hours to complete
3 videos (Total 99 min), 1 reading, 1 quiz

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About the Mind and Machine Specialization

Mind and Machine

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