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  <titleInfo>
    <title>Programming PyTorch for deep learning</title>
    <subTitle> : creating and deploying deep learning applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Ian Pointer</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Ian Pointer</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="">Machine learning-Python (Computer program language)</genre>
  <originInfo>
    <place>
      <placeTerm type="text">Sebastopol, CA</placeTerm>
    </place>
    <publisher>: O'Reilly Media, Inc.</publisher>
    <dateIssued>, 2019</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xv, 200 pages  ; 24 cm</extent>
  </physicalDescription>
  <abstract>Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.</abstract>
  <tableOfContents>Getting started with PyTorch --
Image classification with PyTorch --
Convolutional neural networks --
Transfer learning and other tricks --
Text classification --
A journey into sound --
Debugging PyTorch models --
PyTorch in production --
PyTorch in the wild.</tableOfContents>
  <note type="statement of responsibility">/Ian Pointer</note>
  <subject>
    <topic>Computer Science</topic>
  </subject>
  <classification authority="ddc">006.32 POI</classification>
  <identifier type="isbn">9789352139095</identifier>
  <identifier type="">Raghav Books Private Limited A-184 A, Nand Gram, Ghaziabad, U.P.</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">200312</recordCreationDate>
    <recordChangeDate encoding="iso8601">20200312145855.0</recordChangeDate>
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