A Deep Learning Tool for Personalized Workout Recommendations From Fitness Tracking Data

LA JOLLA, California, April 22 -- The University of California's San Diego Campus issued the following news:

Computer 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 frim the Jacobs School of Engineering at UC San Diego will present their work at the World Wide Web 19 conference May 13 to 17 in Sa . . .

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