"Our training times are about 7-10 times faster, and our memory footprints are 2-4 times smaller than the best baseline performances of previously reported large-scale, distributed deep-learning systems," said Shrivastava, an assistant professor of computer science at Rice.More at Tech Xplore
Medini, a Ph.D. student at Rice, said product search is challenging, in part, because of the sheer number of products. "There are about 1 million English words, for example, but there are easily more than 100 million products online."
Amazon claims breakthrough in distributed deep learning
Posted on Wednesday, December 11 2019 @ 11:13 CET by Thomas De Maesschalck