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.
Features
Evergreen only
2 mo on HNGeoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development
2 mo on HNMENACE: the pile of matchboxes which can learn
2 mo on HNRecent Developments in Deep Learning
2 mo on HNAI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215
2 mo on HNAI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018
2 mo on HNIntroducing Nx - José Valim | Lambda Days 2021
2 mo on HNJohn Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges
2 mo on HNTrends in Deep Learning Hardware: Bill Dally (NVIDIA)
2 mo on HNGoogle's DeepMind AI vs StarCraft 2 World Champion - Game 1
2 mo on HNFull interview: "Godfather of artificial intelligence" talks impact and potential of AI
2 mo on HNWhy Can't AI Make Its Own Discoveries? — With Yann LeCun
2 mo on HNGeoffrey Hinton talk "What is wrong with convolutional neural nets ?"
2 mo on HNBackpropagation calculus | Deep Learning Chapter 4
2 mo on HNLecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition
2 mo on HNChris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
2 mo on HNThe Lighthill Debate (1973) - part 1 of 6
1 mo on HNTraining an unbeatable AI in Trackmania
1 mo on HNAI does not exist but it will ruin everything anyway
1 mo on HNCS231n Winter 2016: Lecture1: Introduction and Historical Context
1 mo on HNPREDATOR - Tracker that learns and improves
1 mo on HNBuilding Brains to Understand the World's Data
1 mo on HNHow AlphaZero Completely CRUSHED Stockfish
1 mo on HNJim Keller - Moore's Law in the age of AI Chips
1 mo on HNGradIEEEnt half decent: The hidden power of imprecise lines
1 mo on HNDeep Visualization Toolbox
1 mo on HNSpeech Recognition Breakthrough for the Spoken, Translated Word
1 mo on HNVisualizing Data Using t-SNE
1 mo on HNJourney on the Deep Dream
1 mo on HNVACNET Anti-cheat
1 mo on HNClojure is Not Afraid of the GPU - Dragan Djuric
1 mo on HNNeural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118
1 mo on HNBut how do AI images and videos actually work? | Guest video by Welch Labs
1 mo on HNMulti-Agent Hide and Seek
1 mo on HNCVPR 2018: Learning to See in the Dark
1 mo on HNHuman AI is Decades Away, But We Need to Start the Debate Now | Demis Hassabis | Google Zeitgeist
1 mo on HN