Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Project</td><td class="align_center">Deploy</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel Core i5 2.5 GHz</td></tr><tr><td class="align_left">Internal storage capacity</td><td class="align_center">8 GB</td></tr><tr><td class="align_left">Hard disc capacity</td><td class="align_center">300 GB</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Use the main hardware configuration of the experimental computer.</div>

Computational Intelligence and Neuroscience

tab1

Table 1

Table 1: Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education 

Table 1 | Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education 