2:25:52backpropagation and neural networksLecture
The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
17 HN recommenders
2:25:52backpropagation and neural networksLecture
Andrej Karpathy
17 HN recommenders
18:40neural networksExplainer
3Blue1Brown
16 HN recommenders
5:58
48:10unsupervised feature learningTalk
Google TechTalks
9 HN recommenders
30:09self-driving neural networksTalk
Matroid
4 HN recommenders
2:35:53deep learning with tensorflowTutorial
Devoxx
6 HN recommenders
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Cool Bug Facts
7 HN recommenders
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Machine Learning Street Talk
4 HN recommenders
21:42analog computingExplainer
Veritasium
7 HN recommenders
24:13silly machine learning researchComedy
suckerpinch
5 HN recommenders
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Lex Fridman
6 HN recommenders
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media.ccc.de
3 HN recommenders
12:47backpropagationExplainer
3Blue1Brown
4 HN recommenders
17:08neural network game simulationDemo
sentdex
3 HN recommenders
41:07
51:46
20:33gradient descentExplainer
3Blue1Brown
4 HN recommenders
47:15AI and neural networksLecture
The Royal Institution
3 HN recommenders
13:30machine learning for sign stealingDemo
Mark Rober
3 HN recommenders
3:07neural networksTutorial
Welch Labs
3 HN recommenders
3:28:48self-driving and ai researchPodcast
Lex Fridman
3 HN recommenders
31:32autonomous driving visionTalk
WAD at CVPR
4 HN recommenders
6:31universe visualizationDemo
American Museum of Natural History
3 HN recommenders
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.
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