Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (ΞΌTransfer)

From the creator

πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ Join our Discord community πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ https://discord.gg/peBrCpheKE In this video I cover "Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer (ΞΌTransfer)" paper that makes optimal hyperparameters stable w.r.t. width scaling! β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ βœ… Paper: https://arxiv.org/abs/2203.03466 βœ… Their previous paper: https://arxiv.org/abs/2011.14522 βœ… ΞΌTransfer tool: https://github.com/microsoft/mup βœ… DeepNet paper: https://arxiv.org/abs/2203.00555 β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ ⌚️ Timetable: 00:00 uTransfer introduced 04:30 Previous work (tensor programs IV) 10:00 NTK - neural tangent kernel recap 16:30 abc parametrization 19:25 How does learning happen in NTK? 33:50 Connections to Central Limit Theorem 39:30 Maximal Update Parametrization in Practice 45:50 DeepNet paper connection 48:20 Results (width is all you need?) β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ THE AI EPIPHANY PATREONS WALL ❀️ Eli Mahler Kevin Stone Petar VeličkoviΔ‡ β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ πŸ’Ό LinkedIn - https://www.linkedin.com/in/aleksagordic/ 🐦 Twitter - https://twitter.com/gordic_aleksa πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ Discord - https://discord.gg/peBrCpheKE πŸ“Ί YouTube - https://www.youtube.com/c/TheAIEpiphany/ πŸ“š Medium - https://gordicaleksa.medium.com/ πŸ’» GitHub - https://github.com/gordicaleksa πŸ“’ AI Newsletter - https://aiepiphany.substack.com/ β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬β–¬ #ΞΌTransfer #MaximalUpdateParametrization #scalingl

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Makers residency 4th edition
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Makers residency 4th edition
Fri 13 Nov 2026

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