CS231n Winter 2016: Lecture1: Introduction and Historical Context
推荐理由
The Vision course by Karparthy can be a very good introduction to Deep learning.
强烈推荐neel8986 · 原文
说明
这是2016年由Andrej Karpathy发布的一部系列课程,主题归在Machine learning & deep learning。它讲的是convolutional neural networks这一支里的具体问题,而不是把整个领域扫一遍。适合第一次接触、还没有先修课的人。内容上可以概括成:The first lecture of Stanford's CS231n Winter 2016 course on convolutional neural networks for visual recognition, introducing the course and the historical context of computer vision.这些读者给出的理由,核心是:HN lists it as a free, brilliant introduction to deep learning and computer vision, often within ML self-study plans.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2016年到2023年,有2位不同的读者在1个不同月份把它推荐出来,其中明确叫别人去看的有1次。建议顺着系列往下看,后面的集用得着前面的定义,不适合抽一节就跳走。如果已经会了基本定义,就把注意力放在它怎么把convolutional neural networks变成能跟着复述的例子。
视频信息
- 频道
- Andrej Karpathy
- 时长
- 1 小时 19 分
- 发布年份
- 2016
同主题更多
- The spelled-out intro to neural networks and backpropagation: building micrograd
- But what is a neural network? | Deep learning chapter 1
- AlphaGo - The Movie | Full award-winning documentary
- Transformers, the tech behind LLMs | Deep Learning Chapter 5
- USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
- Lecture 1 | Machine Learning (Stanford)