Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Government data service indicators (average is 31.4)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">&gt;31.4</td><td class="align_center">Guangdong Zhejiang Shanghai Jiangsu Beijing</td></tr><tr><td class="align_left">≈31.4</td><td class="align_center">Guizhou Anhui Fujian Sichuan Hubei Hebei Henan Chongqing Hainan</td></tr><tr><td class="align_left">&lt;31.4, &gt;30</td><td class="align_center">Guangxi Tianjin Ningxia Yunnan Jiangxi Inner Mongolia Liaoning Shandong Heilongjiang Qinghai</td></tr><tr><td class="align_left">&lt;30</td><td class="align_center">Jilin Shanxi Gansu Xinjiang Tibet Shaanxi</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Government data service indicators of main areas of China.</div>

Computational Intelligence and Neuroscience

tab6

Table 6

Table 6: Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning 