Deep Learning: Some Perspectives from Physics

by Zohar Ringel

Hebrew University

at Physics Colloquium

Tue, 01 Apr 2025, 12:00
Ilse Katz Institute for Nanoscale Science & Technology (51), room 015

Abstract

Though no match to practical breakthroughs, our theoretical grasp of deep learning has steadily widened during the last decade. This talk will review the past misconceptions and recent new conceptions that have formed, taking a physics standpoint. In particular, I will describe some concrete links to entropy, order by disorder, field theory, and renormalization. I will also discuss the paradoxical nature of trying to understand models meant to solve problems we cannot solve analytically, and ways around this.

*** Refreshments at 12:00, talk at 12:15.

Created on 02-02-2025 by Kats, Yevgeny (katsye)
Updaded on 24-03-2025 by Kats, Yevgeny (katsye)