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Jul, 2024
TASI 机器学习的物理学讲座
TASI Lectures on Physics for Machine Learning
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Jim Halverson
TL;DR
本研究填补了机器学习与物理学之间的知识鸿沟，提出了一种基于神经网络理论的全新视角。文章阐述了经典结果和最新研究，包括神经切线核和特征学习，强调了理论物理学家熟悉的场论视角，并揭示了两者之间的潜在联系。
Abstract
These notes are based on lectures I gave at TASI 2024 on Physics for
Machine Learning
. The focus is on
Neural Network Theory
, organized according to network expressivity, statistics, and dynamics. I present class
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