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  <titleInfo>
    <title>3GE collection on computer science</title>
    <subTitle>Deep learning technologies</subTitle>
  </titleInfo>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xx</placeTerm>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>3G E-Learning</publisher>
    <dateIssued>2019</dateIssued>
    <dateIssued encoding="marc">9999</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">und</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>viii , 281 pages : color illustrations ; 26 cm.</extent>
  </physicalDescription>
  <note type="statement of responsibility">Aleksandar Mratinkovic , Dan Piestun , Felecia Killings , Sandra El Hajj , Hazem Shawky Fouda , Fozia Parveen , Igor Krunic , Jovan Pehcevski , Tanjina Nur , Stephen , MIchelle.--</note>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <identifier type="isbn">978-1-98462-351-5</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">200902</recordCreationDate>
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