University of Colorado Boulder

Computational Vision

This course is part of Mind and Machine Specialization

Taught in English

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David Quigley

Instructor: David Quigley

4,752 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.4

(62 reviews)

Beginner level
No prior experience required
8 hours (approximately)
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.

Details to know

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(62 reviews)

Beginner level
No prior experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Mind and Machine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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 quiz

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

What's included

3 videos2 quizzes3 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 quiz

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 quiz

Instructor

Instructor ratings
4.7 (15 ratings)
David Quigley
University of Colorado Boulder
4 Courses22,312 learners

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Recommended if you're interested in Algorithms

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Showing 3 of 62

4.4

62 reviews

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    30.64%

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    9.67%

  • 2 stars

    0%

  • 1 star

    3.22%

AM
5

Reviewed on May 29, 2021

DH
5

Reviewed on Mar 14, 2021

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