Evaluating neural architecture search. As multiple authors (for example Lindauer and Hutter, Yang et al., and Li and Talwalkar) have observed, many neural architecture search (NAS) studies are ...

Depending on the deep learning architecture, data size, and task at hand, we sometimes require 1 GPU, and sometimes, several of them, a decision data scientist needs to make based on known ...

Deep learning is a tool that enterprises use to solve practical problems. In this paper, we provide an introduction to deep learning and its foundations, introduce you to Cloudera's unified platform ...

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.