Learn More
—In this article, we take one step toward understanding the learning behavior of deep residual networks, and supporting the hypothesis that deep residual networks are exponential ensembles by construction. We examine the effective range of ensembles by introducing multi-residual networks that significantly improve classification accuracy of residual(More)
PURPOSE The aim of this study was to assess the prevalence of impaired glucose metabolism in patients who attended hospital-based cardiac rehabilitation. METHODS We performed a single-group cross-sectional study. In a 7-month period, from September 2010. The study was conducted in a cardiac rehabilitation setting at a university hospital. Overall, 273(More)
  • 1