Applications of Deep Learning on Topographic Images to Improve the Diagnosis for Dynamic Systems and Unconstrained Optimization

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Category</td><td class="align_center">Images classified correctly</td><td class="align_center">Total images</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Normal</td><td class="align_center">968</td><td class="align_center">1035</td></tr><tr><td class="align_left">Keratoconus</td><td class="align_center">940</td><td class="align_center">1038</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Number of images classified by category.</div>

Wireless Communications and Mobile Computing

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Table 3

Table 3: Applications of Deep Learning on Topographic Images to Improve the Diagnosis for Dynamic Systems and Unconstrained Optimization 