Yufei Sun, Hui Liu
Prevalence and risk factors of musculoskeletal injuries in modern and contemporary dancers: a systematic review and meta-analysis
Frontiers in public health
developments deep learning seen use layerwise unsupervised learning combined supervised learning finetuning layerwise approach deep network seen modular system lends well learning representations paper investigate whether modularity useful insertion background knowledge deep networks whether improve learning performance available extraction knowledge trained deep networks whether offer better understanding representations learned networks end use simple symbolic languagea set logical rules call confidence rulesand show suitable representation quantitative reasoning deep networks show knowledge extraction confidence rules offer lowcost representation layerwise networks restricted boltzmann machines also show layerwise extraction produce improvement accuracy deep belief networks furthermore proposed symbolic characterization deep networks provides novel method insertion prior knowledge training deep networks use method deep neuralsymbolic system proposed evaluated experimental results indicating modularity use confidence rules knowledge insertion beneficial network performance