Computational Vision

Course Cover

4.5

(2)

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

This course focuses on AI and computer vision, exploring various models and approaches to address vision tasks. It delves into the cognitive aspects of vision, examining the limits of these problems and how they contribute to a deeper understanding of the brain and mind. The course covers topics such as artificial intelligence in computer vision, the vision of artificial intelligence, and the role of computational intelligence in computer vision. By studying these concepts, students gain insights into the complexities of analyzing and interpreting visual data. This course provides a comprehensive exploration of computer vision's relationship with artificial and computational intelligence, equipping students with valuable knowledge in this evolving field.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

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

Course Instructors

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David Quigley

Cognitive Science

Dr. David Quigley is a Research Associate in the Institute of Cognitive Science and Assistant Professor - Adjunct in the Department of Computer Science at CU Boulder. His research skill set centers o...

Course Reviews

Average Rating Based on 2 reviews

4.4

100%

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