Re: [Phys-L] [External] Image Classifier using a Deep Neural Net.

["LaMontagne, Bob" <RLAMONT@providence.edu>]

Fascinating - if valid. Could this be applied to serial killers, etc.? Shades of 1984.

Bob LaMontagne

________________________________
From: Phys-l <phys-l-bounces@mail.phys-l.org> on behalf of Brian Whatcott <betwys1@sbcglobal.net>
Sent: Saturday, December 3, 2022 11:40 AM
To: Phys-L: Forum for Physics Teachers <phys-l@phys-l.org>
Subject: [External] [Phys-L] Image Classifier using a Deep Neural Net.

The relevance to this list  is sketchy, it's true, but here is a pointer to  the work of Stanford researchers on distinguishing gay people using their facial images with a deep neural net and a large image file - actually noticeable is that it is not THAT huge; 35000 portraits of men & women, adverting to their sexual preferences.I notice the data were first compressed X8 which is not necessarily in the spirit of deep learning in general.This application lifts recognition from 57% to 70 or 80 % which sounds even more surprising if it is expressed as the difference from 50/50.Unaided view 7/50  better than chance: AI 20/50  to 30/50 better than chance.
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