Get 20% off at 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: [ Ссылка ]
Patreon: [ Ссылка ]

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) [ Ссылка ]
3) [ Ссылка ]


Credits:
Protein folding: [ Ссылка ]

🎵 Music licensed from Lickd. The biggest mainstream and stock music platform for content creators

Viva La Vida by Coldplay, [ Ссылка ] License ID: RXj082JWjbA

Try Lickd FREE for 14 days for unlimited stock music and get 50% off your first mainstream track: [ Ссылка ]

свернуть