Connections between physics and deep learning

Why it was recommended

physical data tends to have symmetries, and these symmetries make descriptions of the data very compressible into relatively small neural circuits

Strong recommendationtedsanders · Original2018-05

What it covers

Max Tegmark's MIT CBMM talk on why deep learning works so well. He argues that the laws of physics and the symmetries in physical data make it compressible into small. It is for someone who already knows the basic terms and wants the next step.

Video details

Channel

MITCBMM

Length

51 min 46 sec

Year

2016

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