How do neural networks learn? A mathematical formula explains how they detect relevant patterns

Researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor

Related Keywords

San Diego ,California ,United States ,Bombay ,Maharashtra ,India ,University Of California San Diego ,Daniel Beaglehole ,Mikhail Belkin ,Parthe Pandit ,Harvard School Of Engineering ,Institute For Optimization At Scale ,Uc San Diego Halicioglu Data Science Institute ,Belkin ,Uc San Diego Department Of Computer Science ,Broad Institute ,Simons Foundation For The Collaboration ,National Science Foundation ,California San Diego ,Diego Department ,Computer Science ,Diego Halicioglu Data Science ,Average Gradient Outer Product ,Language Models ,Simons Foundation ,Theoretical Foundations ,Diego Led The Institute ,Learning Enabled Optimization ,Harvard School ,Applied Sciences ,California San ,