THE VIDEO SHELF · gradient descent
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown's second neural network chapter explains cost functions and gradient descent, showing how a network learns by minimizing error during training.
Why HN readers recommended it
HN recommends the series as a very accessible way to understand the math behind machine learning and LLMs.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- 3Blue1Brown
- Topic
- gradient descent
- Format
- explainer
- Level
- intro
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2017–2024
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.
I'm in the same boat. For long time, I was interested in AI but at the same time intimidated by math. I'm relatively comfortable with discrete mathematics and classical algorithms and at the same time calculus and linear algebra is completely foreign to me. Also, …
hal9000xp on Hacker News · 2017-11
In Ask HN: Best way to get started with AI?This was very timely for me and for anyone else learning, here are the first few videos of the series: [LINK] [VIDEO] [LINK] (Original video) [LINK]
nouveaux on Hacker News · 2017-11
In What is backpropagation and what is it doing? [video]If you want an extensive answer, I recommend the neural network playlist on 3Blue1Brown: [LINK] For a quick answer, watch this segment: [VIDEO]
miklosme on Hacker News · 2020-05
In Humans Not Invited
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.