计算机视觉

Computational Vision

400 次查看
科罗拉多大学波德分校
Coursera
  • 完成时间大约为 12 个小时
  • 简单(初级)
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

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.

课程概况

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.

课程大纲

Introduction

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

Edges, Depth, and Objects

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

Mental Imagery

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

Machine Learning and Neural Networks

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.

Programming Category (English)728x90
声明:MOOC中国十分重视知识产权问题,我们发布之课程均源自下列机构,版权均归其所有,本站仅作报道收录并尊重其著作权益。感谢他们对MOOC事业做出的贡献!
  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • JANUX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc
  • (部分课程由Coursera、Udemy、Linkshare共同提供)

© 2008-2019 MOOC.CN 慕课改变你,你改变世界