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Machine learning & deep learning Videos Recommended on Hacker News (131)

Machine learning & deep learning is one of the 150 topics Hacker News readers organize their video recommendations around. These 131 videos each earned real recommendations in real HN threads between 2007 and 2026 — 420 recommendations in total — and they're ranked by how many separate months the community kept coming back to them, not by view count.

Machine learning: neural networks, deep learning, backpropagation, training, optimization, reinforcement learning, AlphaGo, ML research lectures, Karpathy, Hinton, LeCun, Stanford CS231n.

Why HN keeps sending people here — on The spelled-out intro to neural networks and backpropagation: building micrograd: “It's especially useful because he explains the why and provides intuitive explanations instead of just talking about the what and how.” — an HN commenter, 2023.

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16 mo on HN

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy
17 HN recommender · 2022–2025
14 mo on HN

But what is a neural network? | Deep learning chapter 1

3Blue1Brown
16 HN recommender · 2017–2025
10 mo on HN

AlphaGo - The Movie | Full award-winning documentary

Google DeepMind
10 HN recommender · 2020–2025
10 mo on HN

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown
13 HN recommender · 2024–2026
10 mo on HN

USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?

USENIX
10 HN recommender · 2018–2026
10 mo on HN

MarI/O - Machine Learning for Video Games

SethBling
10 HN recommender · 2015–2026
8 mo on HN

Deep Dive into LLMs like ChatGPT

Andrej Karpathy
10 HN recommender · 2025–2026
10 mo on HN

Computer program that learns to play classic NES games

suckerpinch
9 HN recommender · 2015–2025
9 mo on HN

RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning

Google DeepMind
9 HN recommender · 2017–2026
8 mo on HN

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy
14 HN recommender · 2023–2025
5 mo on HN

Joscha Bach: Artificial Consciousness and the Nature of Reality | Lex Fridman Podcast #101

Lex Fridman
6 HN recommender · 2020–2021
5 mo on HN

Brains, Sex, and Machine Learning

Google TechTalks
7 HN recommender · 2012–2017
5 mo on HN

Why Greatness Cannot Be Planned — Kenneth Stanley

Machine Learning Street Talk
4 HN recommender · 2021–2024
5 mo on HN

Lecture 01 - The Learning Problem

caltech
5 HN recommender · 2016–2023
4 mo on HN

Uppestcase and Lowestcase Letters [advances in derp learning]

suckerpinch
5 HN recommender · 2021–2026
5 mo on HN

Let's build the GPT Tokenizer

Andrej Karpathy
5 HN recommender · 2024–2025
4 mo on HN

Attention in transformers, step-by-step | Deep Learning Chapter 6

3Blue1Brown
5 HN recommender · 2024–2026
4 mo on HN

GDC 2018: John McDonald (Valve) - Using Deep Learning to Combat Cheating in CSGO

max4warn
5 HN recommender · 2018–2026
4 mo on HN

LSTM is dead. Long Live Transformers!

Seattle Applied Deep Learning
4 HN recommender · 2020–2023
4 mo on HN

Attention Is All You Need

Yannic Kilcher
4 HN recommender · 2020–2025
4 mo on HN

The Simple Essence of Automatic Differentiation - Conal Elliott

Microsoft Research
3 HN recommender · 2018–2023
3 mo on HN

Backpropagation, intuitively | Deep Learning Chapter 3

3Blue1Brown
4 HN recommender · 2017–2024
3 mo on HN

Training AI Without Writing A Reward Function, with Reward Modelling

Robert Miles AI Safety
3 HN recommender · 2019–2023
3 mo on HN

Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)

ObservantVids
3 HN recommender · 2018–2025
3 mo on HN

Connections between physics and deep learning

MITCBMM
3 HN recommender · 2016–2026
3 mo on HN

Gradient descent, how neural networks learn | Deep Learning Chapter 2

3Blue1Brown
4 HN recommender · 2017–2024
3 mo on HN

Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober
3 HN recommender · 2019–2023
3 mo on HN

Neural Networks Demystified [Part 1: Data and Architecture]

Welch Labs
3 HN recommender · 2015–2018
3 mo on HN

Google Developers Day US - Theorizing from Data

GoogleDeveloperDay
3 HN recommender · 2007–2009
3 mo on HN

Peter Norvig - The Unreasonable Effectiveness of Data

UBC Computer Science
3 HN recommender · 2012–2026
3 mo on HN

Lecture 1: Introduction to Information Theory

Jakob Foerster
3 HN recommender · 2018–2024
3 mo on HN

Infinite Mario AI - Long Level

Robin Baumgarten
3 HN recommender · 2009–2012
3 mo on HN

CS480/680 Lecture 19: Attention and Transformer Networks

Pascal Poupart
3 HN recommender · 2023–2023
2 mo on HN

The spelled-out intro to language modeling: building makemore

Andrej Karpathy
2 HN recommender · 2024–2024
3 mo on HN

Joscha: From Computation to Consciousness (31c3)

Joscha Bach
3 HN recommender · 2016–2019
2 mo on HN

Large Language Models from scratch

Graphics in 5 Minutes
3 HN recommender · 2023–2024