Machine Learning for Computer Vision class (Winter 2017-2018) - YouTube
The Machine Learning for Computer Vision class was given by Prof. Fred Hamprecht at the HCI of Heidelberg University during the winter term 2017/2018. Syllab...
概览
收录于
2026年3月17日
学科与领域
computer-science-advanced · computer-vision
年级范围
九年级（高一）–十二年级（高四）
页面类型
Video
关键词
video sharing camera phone video phone free upload
简介
Machine Learning for Computer Vision Course Overview
- Course Title: Machine Learning for Computer Vision
- Instructor: Prof. Fred Hamprecht
- Institution: HCI, Heidelberg University
- Term: Winter 2017/2018
- Course Syllabus:
- Introduction
- Undirected Probabilistic Graphical Models: Includes MAP & Priors, Markov Random Fields (MRF), Gibbs Sampling, MRF as Integer Linear Programs, Tree-Shaped MRF, Belief Propagation, and Gaussian MRF.
- Neural Networks: Covers Perceptrons, Back Propagation, Deep Learning introduction and architectures, Natural Gradient Optimization, and combining Graphical Models with Neural Networks.
- Directed Probabilistic Graphical Models: Covers Reinforcement Learning, Policy Gradient, and Robotics.
- Resources: Handwritten lecture notes are provided via the HCI Heidelberg website.
用户评价
暂无已发布的评价，欢迎率先分享您的使用体验。