THE VIDEO SHELF · convolutional neural networks
CS231n Winter 2016: Lecture1: Introduction and Historical Context
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.
Why HN readers recommended it
HN lists it as a free, brilliant introduction to deep learning and computer vision, often within ML self-study plans.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Andrej Karpathy
- Topic
- convolutional neural networks
- Format
- course
- Level
- intro
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 4
- Recommendation years in dataset
- 2016–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
This is kind of a masters degree course i created for myself to get knowledge of Machine Learning from bottoms up First, you need a strong mathematical base. Otherwise, you can copy paste an algorithm or use an API but you will not get any …
neel8986 on Hacker News · 2018-01
In Ask HN: How to Seriously Start with Machine Learning and AIfast.ai Making neural nets uncool again. fast.ai is dedicated to making the power of deep learning accessible to all.[0] Udacity. Intro to Machine Learning: Pattern Recognition for Fun and Profit[1] MIT 6.S099: Artificial General Intelligence[2] Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department …
igravious on Hacker News · 2018-01
In Ask HN: Best introductory video courses on ML and Deep Learning?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.