2:25:52backpropagation and neural networksLecture
The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
17 HN recommenders
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- Category: AI, Machine Learning & Data
Results for “hy”
131 videos2:25:52
19:09perceptual colormapsTalk
A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt
Enthought
15 HN recommenders
15:01automation and unemploymentExplainer
What Happened to Horses Is Happening to Us
CGP Grey
11 HN recommenders
58:51world populationLecture
DON'T PANIC — Hans Rosling showing the facts about population
Gapminder Foundation
8 HN recommenders
51:22security and ml skepticismTalk
USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
USENIX
10 HN recommenders
3:31:24
12:22
1:56:20transformers and language modelsTutorial
Let's build GPT: from scratch, in code, spelled out.
Andrej Karpathy
14 HN recommenders
52:22
10:36ai safety instrumental convergenceExplainer
Why Would AI Want to do Bad Things? Instrumental Convergence
Robert Miles AI Safety
6 HN recommenders
30:09self-driving neural networksTalk
Andrej Karpathy - AI for Full-Self Driving at Tesla
Matroid
4 HN recommenders
59:48
1:15:11ai and educationTalk
Veritasium: What Everyone Gets Wrong About AI and Learning – Derek Muller Explains
Perimeter Institute for Theoretical Physics
6 HN recommenders
56:13jupyter notebooksTalk
I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
O'Reilly
6 HN recommenders
3:00:18artificial consciousnessPodcast
Joscha Bach: Artificial Consciousness and the Nature of Reality | Lex Fridman Podcast #101
Lex Fridman
6 HN recommenders
52:09
1:00:19
18:31fourier opticsExplainer
Fourier Optics used for Optical Pattern Recognition
Huygens Optics
5 HN recommenders
2:46:27open-endednessInterview
Why Greatness Cannot Be Planned — Kenneth Stanley
Machine Learning Street Talk
4 HN recommenders
21:42analog computingExplainer
Future Computers Will Be Radically Different (Analog Computing)
Veritasium
7 HN recommenders
6:51
24:13silly machine learning researchComedy
Uppestcase and Lowestcase Letters [advances in derp learning]
suckerpinch
5 HN recommenders
18:05
2:13:35Sources and selection
Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes