Dan Kunin — Gradients and Groups How Neural Networks Learn Features in Algebraic Tasks

Dan Kunin explores the mechanisms by which neural networks learn features, proposing a unified framework that bridges artificial and natural intelligence through three key chapters: gradients, groups, and grids.

Presentation slides: http://tiny.cc/vk82101
Event website: https://lbg251.github.io/Spring-Workshop/

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Видео Dan Kunin — Gradients and Groups How Neural Networks Learn Features in Algebraic Tasks канала Principles of Intelligence