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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/mind-machine-computational-vision
课程评论：没有评论
课程名称：计算视觉 概述：在这门课程中，我们将深入探讨视觉作为一个认知问题空间，并研究应对各种视觉任务的模型。我们还将探讨这些问题的边界如何导致我们对思维和大脑的更复杂分析，以及这些探索如何促成更复杂的理解计算模型。 大纲： 1. **介绍** 描述：本周我们将探索人类视觉的简单模型的一些基本假设。 2. **边缘、深度和物体** 描述：本周我们将研究视觉系统解决的更高阶任务的模型。 3. **心象** 描述：本周我们将比较和对比不同视角下心象与视觉系统的关系。 4. **机器学习与神经网络** 描述：本周我们将探索神经元作为人类认知系统的一个元素，以及我们如何将这些元素应用于人工智能的神经网络系统中。
Name:Introduction
Description:This week we will explore some basic assumptions of a simple model of human vision.
Name:Edges, Depth, and Objects
Description:This week we will explore models of higher-order tasks solved by the visual system.
Name:Mental Imagery
Description:This week we will compare and contrast different perspectives of how mental imagery relates to the visual system.
Name:Machine Learning and Neural Networks
Description: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.
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.
