This deep learning powered tool creates better personalized workout recommendations from fitness tracking data

Apr 22, 2019

FitRec_small_ucsd_news_0.jpgComputer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners’ heart rates during a workout and predict and recommend routes. The team from the UC San Diego Jacobs School of Engineering will present their work at the WWW 19 conference May 13 to 17 in San Francisco. Read more