Machine Learning & Deep Learning Videos Hacker News Recommends

lecture#5

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

Andrej Karpathy

“It's especially useful because he explains the why and provides intuitive explanations instead of just talking about the what and how.”

17 HN recommenders · 2022–2025

explainer#22

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

3Blue1Brown

“the visualisations and explanations of the math/concepts are so amazing”

16 HN recommenders · 2017–2025

documentary#79

AlphaGo - The Movie | Full award-winning documentary

Google DeepMind

“I consider AlphaGo - The Movie [1] to be a timeless classic that will never feel outdated.”

10 HN recommenders · 2020–2025

explainer#89

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

“what bade me finally understand the transformer architecture [0] and attention [1], are 3Blue1Brown's videos.”

13 HN recommenders · 2024–2026

talk#119

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

USENIX

“His keynote at USENIX Security 2018 is by far the best summation of the dangers of ML that I've ever seen.”

10 HN recommenders · 2018–2026

course#135

Lecture 1 | Machine Learning (Stanford)

Stanford

“I'd suggest going back to the original youtube[1] and course materials[2].”

11 HN recommenders · 2008–2020

demo#149

MarI/O - Machine Learning for Video Games

SethBling

“his brief videos give a really nice introduction to the topic that should be accessible to most people”

10 HN recommenders · 2015–2026

lecture#156

Deep Dive into LLMs like ChatGPT

Andrej Karpathy

“I highly recommend Andrej Karpathy's Deep Dive into LLMs like ChatGPT”

10 HN recommenders · 2025–2026

demo#169

Computer program that learns to play classic NES games

suckerpinch

“Watch the whole thing, it's delightful.”

9 HN recommenders · 2015–2025

course#201

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

Google DeepMind

“Really clear explanations that went hand in hand when I was reading Sutton and Barto's introductory book.”

9 HN recommenders · 2017–2026

tutorial#230

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

Andrej Karpathy

“the best video I have seen on the topic”

14 HN recommenders · 2023–2025

talk#250

Bay Area Vision Meeting: Unsupervised Feature Learning and Deep Learning

Google TechTalks

“he explains very simply how all this works for images and some examples about the audio case.”

9 HN recommenders · 2011–2013

tutorial#256

A Hackers' Guide to Language Models

Jeremy Howard

“highly recommend "Hackers Guide to language models" by Jeremy Howard. 1.5h video packed with practical information”

8 HN recommenders · 2023–2024

talk#417

Andrej Karpathy - AI for Full-Self Driving at Tesla

Matroid

“I highly recommend watching head of AI at Tesla Andrej Karpathy's talk on their self driving architecture.”

4 HN recommenders · 2020–2022

talk#437

[1hr Talk] Intro to Large Language Models

Andrej Karpathy

“Start with his short intro to LLMs, only 1 hour long but is dense with valuable stuff”

9 HN recommenders · 2023–2026

podcast#474

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

Lex Fridman

“If watching this isn't worth anyone's time, I'm not sure what would be.”

6 HN recommenders · 2020–2021

tutorial#510

Tensorflow and deep learning - without a PhD by Martin Görner

Devoxx

“Tensorflow and deep learning - without a PhD" is really good, and covers a lot of material in a single 2hr talk.”

6 HN recommenders · 2017–2020

talk#546

Brains, Sex, and Machine Learning

Google TechTalks

“If you want a great overview of the dropout technique, watch this tech talk by Hinton”

7 HN recommenders · 2012–2017

talk#595

Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive

GDC Festival of Gaming

“The presenter delivered the problem and solution approach so well I'd still like to work on something like this some time.”

5 HN recommenders · 2021–2025

interview#685

Why Greatness Cannot Be Planned — Kenneth Stanley

Machine Learning Street Talk

“It really changed my perspective on achieving my long term goals”

4 HN recommenders · 2021–2024

course#689

Lecture 01 - The Learning Problem

caltech

“I have found the Caltech machine learning intro course to be the most elucidating of any resource so far”

5 HN recommenders · 2016–2023

explainer#745

Future Computers Will Be Radically Different (Analog Computing)

Veritasium

“Veritasium explains it really well in general here (and demos the device)”

7 HN recommenders · 2022–2025

comedy#749

Uppestcase and Lowestcase Letters [advances in derp learning]

suckerpinch

“it just keeps getting better and better as the video progresses. I laughed so hard.”

5 HN recommenders · 2021–2026

lecture#844

Let's build the GPT Tokenizer

Andrej Karpathy

“Worth spending 2h for the deeper understanding if you deal with LLMs.”

5 HN recommenders · 2024–2025

tutorial#936

Hello World - Machine Learning Recipes #1

Google for Developers

“Very approachable! The first lesson is a classifier to separate apples and oranges.”

6 HN recommenders · 2016–2017

explainer#941

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

3Blue1Brown

“what bade me finally understand the transformer architecture [0] and attention [1], are 3Blue1Brown's videos.”

5 HN recommenders · 2024–2026

talk#1075

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

max4warn

“The actual presentation is worth listening to if you have the time.”

5 HN recommenders · 2018–2026

lecture#1092

LSTM is dead. Long Live Transformers!

Seattle Applied Deep Learning

“has gotten tons of compliments and keeps people watching year after year”

4 HN recommenders · 2020–2023

podcast#1110

George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets | Lex Fridman Podcast #132

Lex Fridman

“Lots of topics covered: self-driving, immortality, UFOs, cryptocurrencies, Tesla/Waymo/OpenAI, GTP-3, AI, book recommendations.”

6 HN recommenders · 2020–2026

explainer#1134

Attention Is All You Need

Yannic Kilcher

“The Yannic kilcher review is quite good.”

4 HN recommenders · 2020–2025

talk#1149

The Simple Essence of Automatic Differentiation - Conal Elliott

Microsoft Research

“There's a talk that Conal gives that makes the paper a bit more accessible”

3 HN recommenders · 2018–2023

explainer#1262

Backpropagation, intuitively | Deep Learning Chapter 3

3Blue1Brown

“I found the explainations by 3Brown1Blue to be very intuitive when it comes to neural networks”

4 HN recommenders · 2017–2024

explainer#1297

Training AI Without Writing A Reward Function, with Reward Modelling

Robert Miles AI Safety

“I find this video by Rob Miles still the best presentation of the ingenious original 2017(!) paper”

3 HN recommenders · 2019–2023

talk#1303

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

ObservantVids

“For a more cutting and insightful critique, watch Ali Rahimi's short talk at NIPS 2017”

3 HN recommenders · 2018–2025

demo#1437

Playing a Neural Network's version of GTA V: GAN Theft Auto

sentdex

“This YouTube video, to me, shows the promise of things to come.”

3 HN recommenders · 2021–2025

talk#1509

Connections between physics and deep learning

MITCBMM

“physical data tends to have symmetries, and these symmetries make descriptions of the data very compressible into relatively small neural circuits”

3 HN recommenders · 2016–2026

demo#1572

Deepmind artificial intelligence @ FDOT14

Elizr

“you learn more about the tech from a youtube video than from an article”

2 HN recommenders · 2014–2016

explainer#1591

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

3Blue1Brown

“3Blue1Brown which explains math in very accessible way”

4 HN recommenders · 2017–2024

lecture#1597

Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton

The Royal Institution

“Richard Sutton takes a different view in an interview with Dwarkesh Patel[2]”

3 HN recommenders · 2025

talk#1601

ai.bythebay.io: George Hotz, Self-Driving Lessons from Comma AI

FunctionalTV

“George Hotz has a killer talk about why the general approach to autonomous vehicles is flawed. I highly recommend it.”

3 HN recommenders · 2018–2021

lecture#1627

Lecture 1 | Natural Language Processing with Deep Learning

Stanford University School of Engineering

“I will suggest two brilliant courses from Stanford”

3 HN recommenders · 2017–2018

demo#1638

Stealing Baseball Signs with a Phone (Machine Learning)

Mark Rober

“This video explains neural nets/machine learning and had my kids riveted”

3 HN recommenders · 2019–2023

talk#1707

State of GPT | BRK216HFS

Microsoft Developer

“It changed the way I use GPT-4.”

6 HN recommenders · 2023–2025

tutorial#1710

Neural Networks Demystified [Part 1: Data and Architecture]

Welch Labs

“One of the clearest walkthroughs I've seen online is a short series of very short videos by Stephen C Welch [2] [3].”

3 HN recommenders · 2015–2018

podcast#1713

Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

Lex Fridman

“Anyone seriously interested in this question should listen to the Lex Friedman interview of Andrej Karpathy”

3 HN recommenders · 2022–2025

lecture#1724

Do we need Attention? - Linear RNNs and State Space Models (SSMs) for NLP

Sasha Rush

“I highly recommend Sasha Rush's video on it”

3 HN recommenders · 2024

talk#1744

[CVPR'21 WAD] Keynote - Andrej Karpathy, Tesla

WAD at CVPR

“This talk was worth watching (any Karpathy or Carmack talk is imo)”

4 HN recommenders · 2021–2023

talk#1795

Google Developers Day US - Theorizing from Data

GoogleDeveloperDay

“You should definitely watch it if you haven't seen it before.”

3 HN recommenders · 2007–2009