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  <titleInfo>
    <title>Deep learning framework for iridology</title>
  </titleInfo>
  <name type="personal">
    <namePart>Fawad Ahmad (14590)</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Islamabad</placeTerm>
    </place>
    <publisher>(unpublished)</publisher>
    <dateIssued>2017</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>iii, 26 p. : ill . ; 30 cm. +CD</extent>
  </physicalDescription>
  <note>Submitted in fulfillment of the requirements for the degree of Master of Science in Electrical Engineering for the Faculty of  Engineering and Applied Science.</note>
  <note>Includes bibliographical references.</note>
  <note>Thesis Supervisor: Dr Tassadaq Hussain</note>
  <note>Thesis (MS)--Riphah International Univeristy, 2017</note>
  <note>English </note>
  <subject>
    <topic>Iridology</topic>
    <topic>Graphics processing unit</topic>
    <topic>Central processing unit</topic>
    <topic>Features  caffe</topic>
    <topic>Learning framework</topic>
    <topic>FEAS</topic>
  </subject>
  <classification authority="ddc">617.71 FAW</classification>
  <recordInfo>
    <recordContentSource authority="marcorg"/>
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