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CS231n: CNN for Visual Recognition

课程简介

  • 所属大学：Stanford
  • 先修要求：机器学习基础
  • 编程语言：Python
  • 课程难度：🌟🌟🌟🌟
  • 预计学时：80 小时

Stanford 的 CV 入门课，由计算机领域的巨佬李飞飞院士领衔教授（CV 领域划时代的著名数据集 ImageNet 的研究团队），但其内容相对基础且友好，如果上过 CS230 的话可以直接上手 Project 作为练习。

课程资源

Last update: April 3, 2022

CS231n: CNN for Visual Recognition

Course Introduction

  • Affiliated Universities：Stanford
  • Prerequisites: Foundations of Machine Learning
  • Programming Languages：Python
  • Course Difficulty：🌟🌟🌟🌟
  • Estimated hours: 80 hours

Stanford's CV introductory class, led by the giant of the computer field, Fei-Fei Li (the research team of the epoch-making famous dataset ImageNet in CV field), but its content is relatively basic and friendly, if you have taken CS230, you can directly start the Project as practice.

Course Resources

Last update: June 29, 2023