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URL: https://www.coursera.org/learn/mind-machine-computational-vision

⇱ Computational Vision | Coursera

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Computational Vision

This course is part of Mind and Machine Specialization

5,524 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.4

67 reviews

Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.4

67 reviews

Beginner level
No prior experience required
8 hours to complete
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 assignments

Taught in English

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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

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

What's included

1 video2 readings1 assignment

1 video•Total 19 minutes
  • Vision as a Computational Problem•19 minutes
2 readings•Total 11 minutes
  • Course Updates and Accessibility Support•1 minute
  • Vision by Man and Machine•10 minutes
1 assignment•Total 10 minutes
  • Vision Overview•10 minutes

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

What's included

3 videos2 assignments3 discussion prompts

3 videos•Total 103 minutes
  • Finding Edges•31 minutes
  • Depth Perception•35 minutes
  • Object Recognition•37 minutes
2 assignments•Total 20 minutes
  • Edges•5 minutes
  • Geons•15 minutes
3 discussion prompts•Total 30 minutes
  • Geon pictures•10 minutes
  • Disparity•10 minutes
  • Ames Illusion•10 minutes

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

What's included

2 videos1 reading1 assignment

2 videos•Total 123 minutes
  • Mental Imagery and the Brain•63 minutes
  • Mental Imagery and the "Turn Towards Neuroscience"•60 minutes
1 reading•Total 10 minutes
  • Mental Imagery and the Visual System•10 minutes
1 assignment•Total 5 minutes
  • Mental Imagery•5 minutes

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 assignment

3 videos•Total 99 minutes
  • Perceptrons•46 minutes
  • Multi-Layer Networks•26 minutes
  • Deep Learning for Object Recognition•27 minutes
1 reading•Total 45 minutes
  • M​ind Body World (Sections 4.0 through 4.4)•45 minutes
1 assignment•Total 10 minutes
  • Convolution Problem•10 minutes

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Instructor

Instructor ratings
4.7 (15 ratings)
University of Colorado Boulder
4 Courses•26,948 learners

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Showing 3 of 67

DH
·

Reviewed on Mar 14, 2021

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

AM
·

Reviewed on May 29, 2021

Good understanding of mechanism of computer vision through deep learning

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

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.

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.

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