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  <titleInfo>
    <title>Deep learning for coders with fastai and pytorch</title>
    <subTitle>ai applications without a PhD</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Howard, Jeremy Slyvain gugger</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Sebastopol</placeTerm>
    </place>
    <publisher>O'Reilly media. Inc.</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xxiv, 594 p. : ill., Col. ;23 cm.</extent>
  </physicalDescription>
  <note>Includes bibliographical reference, appendices and index.</note>
  <subject>
    <topic>Machine learning</topic>
    <topic>Data ethics</topic>
    <topic>Data augmentation</topic>
    <topic>Digit classifier</topic>
    <topic>Image classification</topic>
    <topic>RISE</topic>
  </subject>
  <classification authority="ddc">006.312 HOW</classification>
  <identifier type="isbn">9781492045526 (pbk)</identifier>
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