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 “rad”
26 videos2:25:52
18:40neural networksExplainer
But what is a neural network? | Deep learning chapter 1
3Blue1Brown
16 HN recommenders
30:09self-driving neural networksTalk
Andrej Karpathy - AI for Full-Self Driving at Tesla
Matroid
4 HN recommenders
21:42analog computingExplainer
Future Computers Will Be Radically Different (Analog Computing)
Veritasium
7 HN recommenders
12:47backpropagationExplainer
Backpropagation, intuitively | Deep Learning Chapter 3
3Blue1Brown
4 HN recommenders
20:33gradient descentExplainer
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
4 HN recommenders
3:07neural networksTutorial
Neural Networks Demystified [Part 1: Data and Architecture]
Welch Labs
3 HN recommenders
31:32autonomous driving visionTalk
[CVPR'21 WAD] Keynote - Andrej Karpathy, Tesla
WAD at CVPR
4 HN recommenders
8:25large language modelsExplainer
Large Language Models from scratch
Graphics in 5 Minutes
3 HN recommenders
1:19:55
1:27:44ai and industryTalk
Andrew Ng: Artificial Intelligence is the New Electricity
Stanford Graduate School of Business
2 HN recommenders
7:45flood risk statisticsExplainer
The 100 Year Flood Is Not What You Think It Is (Maybe)
Practical Engineering
2 HN recommenders
43:23algorithmic fairnessTalk
AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018
CraftHub Events
2 HN recommenders
10:18backpropagationExplainer
Backpropagation calculus | Deep Learning Chapter 4
3Blue1Brown
3 HN recommenders
1:02:06neocortex-inspired machine intelligenceTalk
Building Brains to Understand the World's Data
Google TechTalks
1 HN recommender
47:34drone countermeasuresTalk
DEF CON 23 - Robinson and Mitchell - Knocking my neighbors kids cruddy drone offline
DEFCONConference
1 HN recommender
55:02floating point nonlinearityExplainer
GradIEEEnt half decent: The hidden power of imprecise lines
suckerpinch
1 HN recommender
1:14humanoid roboticsNews
A Compilation of Robots Falling Down at the DARPA Robotics Challenge
IEEE Spectrum
1 HN recommender
8:35tesla autopilot and motorcyclesExplainer
Tesla Autopilot Crashes into Motorcycle Riders - Why?
FortNine
1 HN recommender
1:25
3:00
5:33:21amd gpu drivers
George Hotz | Programming | can tinygrad whisper? | AMD Rant | Giving up on AMD | Speech to Text
george hotz archive
Discussed on HN
47:54technology futuresInterview
Elon Musk and Y Combinator President on Thinking for the Future - FULL CONVERSATION
Vanity Fair
Discussed on HN
15:19Sources 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