Machine Learning & Deep Learning Videos Hacker News Recommends — Page 2

lecture#1872

Peter Norvig - The Unreasonable Effectiveness of Data

UBC Computer Science

“Norvig does an especially great job in making you truly appreciate the seismic impact that the availability of massive quantities of data can have”

3 HN recommenders · 2012–2026

lecture#1963

Lecture 1: Introduction to Information Theory

Jakob Foerster

“It was very enjoyable for me to learn the material from his lectures.”

3 HN recommenders · 2018–2024

demo#1983

Infinite Mario AI - Long Level

Robin Baumgarten

“It's pretty interesting, a lot of people wrote/are writing high falutin' machine learning algorithms”

3 HN recommenders · 2009–2012

talk#1995

RAAIS 2017 - Simon Knowles, Co-Founder and CTO of Graphcore

The Research and Applied AI Summit - RAAIS

“Here's a nice technical talk from Graphcore's CTO about that”

3 HN recommenders · 2017–2018

lecture#2062

CS480/680 Lecture 19: Attention and Transformer Networks

Pascal Poupart

“I would also recommend Pascal Poupart's talk [1] on Attention and Transformers.”

3 HN recommenders · 2023

tutorial#2065

The spelled-out intro to language modeling: building makemore

Andrej Karpathy

“It's long (2h), but well worth the time if anyone is curious about the technical workings of LLMs.”

2 HN recommenders · 2024

talk#2109

Tesla Autonomy Day

Tesla

“Watch the presentation from 6 months ago, where they explain the decision to build their own hardware for inferring”

3 HN recommenders · 2019–2024

lecture#2157

Stanford Seminar: Beyond Floating Point: Next Generation Computer Arithmetic

Stanford Online

“Here's a nice introductory presentation”

5 HN recommenders · 2017–2021

talk#2227

Joscha: From Computation to Consciousness (31c3)

Joscha Bach

“stuff like talks by Joscha Bach on C3”

3 HN recommenders · 2016–2019

explainer#2233

Large Language Models from scratch

Graphics in 5 Minutes

“I highly recommend this video by Steve Seitz”

3 HN recommenders · 2023–2024

explainer#2277

AI Language Models & Transformers - Computerphile

Computerphile

“You can check-out his other videos on NLP as well they are all excellent.”

3 HN recommenders · 2022–2025

interview#2344

Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #25

Lex Fridman

“Highly recommend the Lex Fridman interview to listen to Jeff explain live”

2 HN recommenders · 2019–2021

course#2397

Practical Deep Learning for Coders: Lesson 1

Jeremy Howard

“The lectures are super hands on - Jeremy actually fires up a jupyter notebook and runs code which often surprises him”

2 HN recommenders · 2022–2023

lecture#2459

Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars

Lex Fridman

“Check the lecture, its fantastic imo.”

3 HN recommenders · 2018–2023

talk#2476

Tesla AI Day 2022

Tesla

“Learning about their engineering in that regard really changed my perception of the likelihood that they could solve the problem. Give it a watch”

2 HN recommenders · 2022–2026

explainer#2486

AlphaFold - The Most Useful Thing AI Has Ever Done

Veritasium

“To learn more about AlphaFold and its importance, I would recommend the Veritasium video[0]”

2 HN recommenders · 2025–2026

explainer#2618

Alpha Zero's "Immortal Zugzwang Game" against Stockfish

agadmator's Chess Channel

“A great example I love showing people is Alpha Zero's infamous "Immortal Zugzwang Game" against Stockfish”

2 HN recommenders · 2019–2025

talk#2652

HC2023-K2: Hardware for Deep Learning

hotchipsvideos

“The whole talk is brilliant and worth watching.”

2 HN recommenders · 2023–2025

talk#2747

Andrew Ng: Artificial Intelligence is the New Electricity

Stanford Graduate School of Business

“I really enjoyed this Andrew Ng talk”

2 HN recommenders · 2017–2019

explainer#2797

AI can't cross this line and we don't know why.

Welch Labs

“see eg for a well made/easily digestable intro”

2 HN recommenders · 2024–2025

demo#2979

Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994

MediaArtTube

“I remember being obsessed with that paper”

2 HN recommenders · 2014–2022

talk#3007

Peter Norvig at Startup School 08

startupschool

“the startup school video that quote comes from is worth watching”

2 HN recommenders · 2009–2014

explainer#3015

OpenAI Plays Hide and Seek…and Breaks The Game! 🤖

Two Minute Papers

“OpenAI's hide and seek is one of my favorites”

2 HN recommenders · 2020–2021

demo#3069

Enhancing Photorealism Enhancement

ISL and Collaborators

“The video linked of applying a neural net to GTAV for photorealism is really impressive if you haven't seen it.”

2 HN recommenders · 2021–2025

interview#3084

Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development

Arts & Science - University of Toronto

“Goes over Hinton's history and why he went the direction he did with his research”

2 HN recommenders · 2024

explainer#3093

MENACE: the pile of matchboxes which can learn

Stand-up Maths

“an amazing way to teach kids about this.”

2 HN recommenders · 2018–2026

talk#3141

Recent Developments in Deep Learning

Google TechTalks

“There's a great Google Tech Talk by Geoff Hinton that serves as a slightly technical introduction to Deep Learning if anyone's interested”

3 HN recommenders · 2010–2026

explainer#3178

AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

Two Minute Papers

“Two Minute Papers did a nice explanation of it”

2 HN recommenders · 2018–2019

talk#3192

AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018

CraftHub Events

“it's impossible to simultaneously treat everyone the same way, to have a useful model, and to have uniformly distributed 'bias'-free outcomes.”

2 HN recommenders · 2019–2021

talk#3283

Introducing Nx - José Valim | Lambda Days 2021

Code Sync

“I recommend you watching José’s talk introducing Elixir Nx”

2 HN recommenders · 2021

talk#3313

John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

UC Berkeley EECS

“There's a very good talk by John Schulman, chief architect of ChatGPT”

2 HN recommenders · 2023

lecture#3340

Trends in Deep Learning Hardware: Bill Dally (NVIDIA)

Paul G. Allen School

“Quite an interesting video IMO.”

3 HN recommenders · 2023–2024

interview#3412

Full interview: "Godfather of artificial intelligence" talks impact and potential of AI

CBS Mornings

“found the discussion much more nuanced than today's headlines.”

3 HN recommenders · 2023

podcast#3415

Why Can't AI Make Its Own Discoveries? — With Yann LeCun

Alex Kantrowitz

“It's quite eye opening.”

2 HN recommenders · 2025–2026

lecture#3423

Geoffrey Hinton talk "What is wrong with convolutional neural nets ?"

trwappers

“Hinton explains the concept of capsules in this video”

2 HN recommenders · 2017–2018

explainer#3446

Backpropagation calculus | Deep Learning Chapter 4

3Blue1Brown

“3Blue1Brown which explains math in very accessible way”

3 HN recommenders · 2017–2024

lecture#3477

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Stanford University School of Engineering

“The Stanford course is pretty good.”

2 HN recommenders · 2018–2025

interview#3516

Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

Lex Fridman

“I watched a couple of Lex Fridman podcasts this week with Chris Lattner (creator of Swift) that I thought were interesting”

2 HN recommenders · 2019–2025

documentary#3519

The Lighthill Debate (1973) - part 1 of 6

bilkable

“If you want to watch a demolition of it see the following video”

2 HN recommenders · 2016–2021

explainer#3574

Training an unbeatable AI in Trackmania

Yosh

“be sure to check out the videos by Yosh. They're amazing, and do a great job explaining how reinforcement learning works in practice”

1 HN recommenders · 2024–2025

commentary#3580

AI does not exist but it will ruin everything anyway

Angela Collier

“Angela Collier's excellent "AI does not exist but it will ruin everything anyway" video, which I recommend”

1 HN recommenders · 2023–2026

course#3613

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Andrej Karpathy

“I will suggest two brilliant courses from Stanford”

2 HN recommenders · 2016–2023

demo#3765

PREDATOR - Tracker that learns and improves

Zdenek Kalal

“Very nifty.”

1 HN recommenders · 2011–2023

talk#3824

Building Brains to Understand the World's Data

Google TechTalks

“he gets into his ideas about the structure of the brain, and what he's done to reconstruct it in software/hardware.”

1 HN recommenders · 2013–2017

commentary#3876

How AlphaZero Completely CRUSHED Stockfish

GothamChess

“See GothamChess' very entertaining analysis”

1 HN recommenders · 2021–2022

talk#3877

Jim Keller - Moore's Law in the age of AI Chips

Matroid

“Jim Keller had an interesting talk recently [1] about ways of doing parallel processing”

1 HN recommenders · 2020

explainer#3914

GradIEEEnt half decent: The hidden power of imprecise lines

suckerpinch

“A fun example of that (making a neural network using floating point error as a source of non-linearity)”

1 HN recommenders · 2023–2024

demo#3916

Deep Visualization Toolbox

Jason Yosinski

“Highly recommend this video on the Deep Visualization Toolbox”

1 HN recommenders · 2016–2025