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  <titleInfo>
    <title>Deep learning</title>
    <subTitle>foundations and concepts</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Bishop, Christopher M.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <role>
      <roleTerm type="text">Author</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Bishop, Hugh</namePart>
    <role>
      <roleTerm type="text">Joint author</roleTerm>
    </role>
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  <originInfo>
    <place>
      <placeTerm type="text">Switzerland</placeTerm>
    </place>
    <publisher>Springer Nature</publisher>
    <dateIssued>2024</dateIssued>
    <issuance/>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>v, 649 p. : ill. ; 28 cm.</extent>
  </physicalDescription>
  <abstract>This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time.</abstract>
  <note type="statement of responsibility">by Christopher M. Bishop and Hugh Bishop</note>
  <note>Includes bibliographical references and index.</note>
  <subject>
    <topic>Deep Learning</topic>
  </subject>
  <classification authority="ddc">006.31 BIS/D</classification>
  <identifier type="isbn">9783031454677 (hbk.)</identifier>
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