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Computational Vision
  • Level Foundation
  • Duration 8 hours
  • Course by University of Colorado Boulder
  • Offered by

About

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.

Modules

Human and Machine Vision

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Vision Overview

1 Videos

  • Vision as a Computational Problem

1 Readings

  • Vision by Man and Machine

Edge Detection

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Edges

1 Videos

  • Finding Edges

Depth Perception & Object Recognition

    • 2 Videos
    • 3 Discussion
    • 1 Assignment
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1 Assignment

  • Geons

3 Discussions

  • Geon pictures
  • Disparity
  • Ames Illusion

2 Videos

  • Depth Perception
  • Object Recognition

The Turn Towards Neuroscience

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Mental Imagery

2 Videos

  • Mental Imagery and the Brain
  • Mental Imagery and the "Turn Towards Neuroscience"

1 Readings

  • Mental Imagery and the Visual System

Neural Networks

    • 2 Videos
    • 1 Readings
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2 Videos

  • Perceptrons
  • Multi-Layer Networks

1 Readings

  • M​ind Body World (Sections 4.0 through 4.4)

Deep Learning

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Convolution Problem

1 Videos

  • Deep Learning for Object Recognition

Auto Summary

Join "Computational Vision" on Coursera to delve into vision as a cognitive challenge and explore models tackling vision tasks. Led by expert instructors, this foundational course spans 480 minutes, offering both Starter and Professional subscription options. Perfect for those eager to deepen their understanding in Data Science & AI.

David Quigley
Instructor

David Quigley