A BrainInspired Algorithm For Memory
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Get 20% off at https://shortform.com/artem • In this video we will explore the concept of Hopfield networks – a foundational model of associative memory that underlies many important ideas in neuroscience and machine learning, such as Boltzmann machines and Dense associative memory. • Socials: • X/Twitter: https://x.com/ArtemKRSV • Patreon: / artemkirsanov • OUTLINE: • 00:00 Introduction • 02:17 Protein folding paradox • 04:23 Energy definition • 08:25 Hopfield network architecture • 14:03 Inference • 18:40 Learning • 22:48 Limitations Perspective • 24:43 Shortform • 25:54 Outro • References: • 1) Downing, K.L., 2023. Gradient expectations: structure, origins, and synthesis of predictive neural networks. The MIT Press, Cambridge, Massachusetts. • 2) https://towardsdatascience.com/hopfie... • 3) https://ml-jku.github.io/hopfield-lay... • • Special thanks to Crimson Ghoul for providing English subtitles! • • Credits: • Protein folding: • protein folding • 🎵 Music licensed from Lickd. The biggest mainstream and stock music platform for content creators • Viva La Vida by Coldplay, https://lickd.lnk.to/4aEPvoID License ID: RXj082JWjbA • Try Lickd FREE for 14 days for unlimited stock music and get 50% off your first mainstream track: https://app.lickd.co/r/47462149f85b4b...
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